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          "claims": [
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              "text": "The author is not the Founder of BrewApps",
              "outcome": "corrected",
              "sentenceIndex": 0
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            {
              "text": "A safer contract separates drafting from delivery, such as create_email_draft being low risk while send_email_draft requires a confirmed draft ID and an approval token",
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              "text": "The reliability layer should translate failures into a small error vocabulary such as INVALID_INPUT, NOT_AUTHORIZED, RATE_LIMITED, DEPENDENCY_TIMEOUT, and CONFLICT",
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              "text": "A safer contract separates drafting from delivery, such as create_email_draft being low risk while send_email_draft requires a confirmed draft ID and an approval token",
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              "text": "The reliability layer should translate failures into a small error vocabulary such as INVALID_INPUT, NOT_AUTHORIZED, RATE_LIMITED, DEPENDENCY_TIMEOUT, and CONFLICT",
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    "version_change-07": {
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      "claims": [
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          "text": "Qwen 3.9 27B is Apache 2 licensed",
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              "quote": "Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM",
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              "source": 1,
              "fix": "Qwen 3.8 27B is Apache 2 licensed"
            },
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              "verdict": "unsupported",
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              "source": 0,
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              "source": 1,
              "fix": "Qwen 3.8 27B has 27B parameters"
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              "quote": "Friday's big release was Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab.",
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              "fix": "Qwen 3.8 27B is vision-capable"
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              "verdict": "supported",
              "quote": "Friday's big release was Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab.",
              "quoteVerified": true,
              "source": 1,
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            },
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              "verdict": "supported",
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              "fix": "CUT or state that 31% reported AI is fully embedded in their business"
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              "fix": "Qwen 3.8 27B is vision-capable"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab",
              "quoteVerified": false,
              "source": 1,
              "fix": "Qwen 3.8 27B is vision-capable"
            }
          },
          "numbersUngrounded": [
            "3.9"
          ]
        },
        {
          "text": "Qwen 3.9 27B is from Alibaba's Qwen research lab",
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          "type": "event_fact",
          "reason": null,
          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab",
              "quoteVerified": false,
              "source": 1,
              "fix": "Qwen 3.8 27B is from Alibaba's Qwen research lab"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "Qwen 3.8 27B , an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab",
              "quoteVerified": false,
              "source": 1,
              "fix": "Qwen 3.8 27B is from Alibaba's Qwen research lab"
            }
          },
          "numbersUngrounded": [
            "3.9"
          ]
        },
        {
          "text": "The author ran a 17GB Q4_K_M quantized build of the model",
          "outcome": "corrected",
          "sentenceIndex": 1,
          "type": "event_fact",
          "reason": null,
          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "On both machines I’m running LM Studio and their 17GB Q4_K_M quantized build",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author ran a 17GB Q4_K_M quantized build of Qwen 3.8 27B"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "I’m running LM Studio and their 17GB Q4_K_M quantized build",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author ran a 17GB Q4_K_M quantized build of Qwen 3.8 27B"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "The author used LM Studio to run the model",
          "outcome": "corrected",
          "sentenceIndex": 1,
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          "reason": null,
          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "On both machines I’m running LM Studio and their 17GB Q4_K_M quantized build",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used LM Studio to run Qwen 3.8 27B"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "On both machines I’m running LM Studio and their 17GB Q4_K_M quantized build",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used LM Studio to run Qwen 3.8 27B"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "The author used a 128GB M5 Max MacBook Pro",
          "outcome": "corrected",
          "sentenceIndex": 1,
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          "reason": null,
          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used a 128GB M5 Max MacBook Pro to run Qwen 3.8 27B"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "I’ve been running the model on two different machines: my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used a 128GB M5 Max MacBook Pro to run Qwen 3.8 27B"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "The author used an NVIDIA DGX Spark",
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          "sentenceIndex": 1,
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          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used an NVIDIA DGX Spark to run Qwen 3.8 27B"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "I’ve been running the model on two different machines: my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author used an NVIDIA DGX Spark to run Qwen 3.8 27B"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "Generating a pelican riding a bicycle SVG took 21 minutes",
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              "verdict": "unsupported",
              "quote": "It took 21 minutes to generate, using 22,276 reasoning tokens to produce 3,223 tokens of output.",
              "quoteVerified": false,
              "source": 1,
              "fix": "Generating a pelican riding a bicycle SVG with Qwen 3.8 27B took 21 minutes"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "It took 21 minutes to generate, using 22,276 reasoning tokens to produce 3,223 tokens of output.",
              "quoteVerified": false,
              "source": 1,
              "fix": "Generating the pelican riding a bicycle SVG with Qwen 3.8 27B took 21 minutes"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "Generating the SVG used 22,276 reasoning tokens",
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          "judges": {
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              "verdict": "unsupported",
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              "quoteVerified": false,
              "source": 1,
              "fix": "Generating the SVG with Qwen 3.8 27B used 22,276 reasoning tokens"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "It took 21 minutes to generate, using 22,276 reasoning tokens to produce 3,223 tokens of output.",
              "quoteVerified": false,
              "source": 1,
              "fix": "Generating the SVG with Qwen 3.8 27B used 22,276 reasoning tokens"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "Generating the SVG produced 3,223 tokens of output",
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          "reason": null,
          "judges": {
            "a": {
              "verdict": "unsupported",
              "quote": "It took 21 minutes to generate, using 22,276 reasoning tokens to produce 3,223 tokens of output.",
              "quoteVerified": false,
              "source": 1,
              "fix": "Generating the SVG with Qwen 3.8 27B produced 3,223 tokens of output"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "It took 21 minutes to generate, using 22,276 reasoning tokens to produce 3,223 tokens of output.",
              "quoteVerified": false,
              "source": 1,
              "fix": "Generating the SVG with Qwen 3.8 27B produced 3,223 tokens of output"
            }
          },
          "numbersUngrounded": []
        },
        {
          "text": "The author thinks this is worth watching rather than acting on yet",
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          "sentenceIndex": 3,
          "type": "opinion",
          "reason": "an opinion or inference, not a factual claim",
          "judges": {
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              "verdict": "unsupported",
              "quote": "The only thing holding this back from being a daily driver is performance.",
              "quoteVerified": false,
              "source": 1,
              "fix": "CUT"
            },
            "b": {
              "verdict": "overstated",
              "quote": "The only thing holding this back from being a daily driver is performance. It feels pretty slow on both the M5 Mac and the DGX Spark.",
              "quoteVerified": false,
              "source": 1,
              "fix": "The author thinks the model is very promising but currently too slow to be a daily driver"
            }
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    "version_change-07-clean": {
      "id": "version_change-07-clean",
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        {
          "text": "Qwen 3.8 27B is licensed under Apache 2",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
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              "verdict": "supported",
              "quote": "Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab",
              "quoteVerified": true,
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
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              "verdict": "supported",
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              "source": 1,
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            }
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
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              "verdict": "supported",
              "quote": "Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
            }
          },
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              "source": 1,
              "fix": ""
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              "source": 1,
              "fix": ""
            }
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              "source": 1,
              "fix": ""
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              "verdict": "supported",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          },
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
            "b": {
              "verdict": "supported",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            }
          },
          "numbersUngrounded": []
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        {
          "text": "The author used a 128GB M5 Max MacBook Pro",
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              "verdict": "supported",
              "quote": "I’ve been running the model on two different machines: my 128GB M5 Max MacBook Pro, and an NVIDIA DGX Spark .",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
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              "verdict": "supported",
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          },
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        },
        {
          "text": "The author used an NVIDIA DGX Spark",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          },
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        {
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
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              "verdict": "supported",
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              "source": 1,
              "fix": ""
            }
          },
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              "verdict": "supported",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
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              "verdict": "supported",
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              "source": 1,
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              "source": 1,
              "fix": ""
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              "verdict": "supported",
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          },
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              "quoteVerified": false,
              "source": 1,
              "fix": "CUT"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "My initial experiments with Pi have been very promising.",
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              "source": 1,
              "fix": "CUT"
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          },
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    "version_change-08": {
      "id": "version_change-08",
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      ],
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      "claims": [
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          "text": "Credentio is an open-source C++ library",
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          "judges": {
            "a": {
              "verdict": "supported",
              "quote": "an open-source C++ library designed for working with Coalition for Content Provenance and Authenticity (C2PA) Content Credentials",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
            "b": {
              "verdict": "supported",
              "quote": "today we are introducing Credentio , an open-source C++ library designed for working with Coalition for Content Provenance and Authenticity (C2PA) Content Credentials",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          },
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              "verdict": "supported",
              "quote": "an open-source C++ library designed for working with Coalition for Content Provenance and Authenticity (C2PA) Content Credentials",
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              "source": 1,
              "fix": ""
            },
            "b": {
              "verdict": "supported",
              "quote": "an open-source C++ library designed for working with Coalition for Content Provenance and Authenticity (C2PA) Content Credentials",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          },
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        },
        {
          "text": "Credentio starts with support for specification versions 2.3 and 2.4",
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          "judges": {
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              "verdict": "unsupported",
              "quote": "starting with specification versions 2.2 and 2.4",
              "quoteVerified": false,
              "source": 1,
              "fix": "Credentio starts with support for specification versions 2.2 and 2.4"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "starting with specification versions 2.2 and 2.4",
              "quoteVerified": false,
              "source": 1,
              "fix": "Credentio starts with support for specification versions 2.2 and 2.4"
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          },
          "numbersUngrounded": [
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          ]
        },
        {
          "text": "The same code powering Credentio has scaled to nearly 40 different conformant C2PA-enabled Google products",
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          "reason": null,
          "judges": {
            "a": {
              "verdict": "supported",
              "quote": "This is the same code that has powered nearly 40 different conformant C2PA-enabled Google products",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
            "b": {
              "verdict": "supported",
              "quote": "This is the same code that has powered nearly 40 different conformant C2PA-enabled Google products to scale to tens of billions of generated assets",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          },
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        },
        {
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              "verdict": "supported",
              "quote": "to scale to tens of billions of generated assets, including images, videos, audio files, and documents across many file formats",
              "quoteVerified": true,
              "source": 1,
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            },
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              "verdict": "supported",
              "quote": "scale to tens of billions of generated assets, including images, videos, audio files, and documents across many file formats",
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              "verdict": "supported",
              "quote": "Trust List Integration: Supporting configurable trust lists, including the official C2PA Trust List and C2PA TSA Trust List.",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
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              "verdict": "supported",
              "quote": "Trust List Integration: Supporting configurable trust lists, including the official C2PA Trust List and C2PA TSA Trust List.",
              "quoteVerified": true,
              "source": 1,
              "fix": ""
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          "text": "Credentio's configurable trust lists include the official C2PA Trust List",
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              "quoteVerified": true,
              "source": 1,
              "fix": ""
            },
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              "verdict": "supported",
              "quote": "Supporting configurable trust lists, including the official C2PA Trust List and C2PA TSA Trust List.",
              "quoteVerified": true,
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            }
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              "source": 1,
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            },
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              "verdict": "supported",
              "quote": "Supporting configurable trust lists, including the official C2PA Trust List and C2PA TSA Trust List.",
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              "source": 1,
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            }
          },
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        {
          "text": "The author expects others to follow quickly",
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              "verdict": "unsupported",
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              "quoteVerified": false,
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            },
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              "verdict": "unsupported",
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              "fix": "CUT"
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          "sentenceIndex": 3,
          "type": "opinion",
          "reason": "an opinion or inference, not a factual claim",
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            "a": {
              "verdict": "unsupported",
              "quote": "",
              "quoteVerified": false,
              "source": 0,
              "fix": "CUT"
            },
            "b": {
              "verdict": "unsupported",
              "quote": "",
              "quoteVerified": false,
              "source": 0,
              "fix": "CUT"
            }
          },
          "numbersUngrounded": []
        }
      ],
      "costUsd": 0.0284
    }
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}