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index.html
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</ul>
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<details class="card" style="margin-top:1rem">
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<summary><strong>Method (short)</strong></summary>
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<ol>
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<li>For each clip, run models on A, V, and AV variants with the same instruction
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<li>Decode model outputs into <code>{object, material, outcome}</code> and compare against labels.</li>
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<li>Compute
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</ol>
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</details>
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</section>
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</ul>
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<details class="card" style="margin-top:1rem">
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<summary><strong>Method (short)</strong></summary>
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<ol>
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<li>For each clip, run models on A, V, and AV variants with the same instruction-style prompt.</li>
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<li>Decode model outputs into <code>{object, material, outcome}</code> and compare against labels.</li>
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<li>Compute per-task Top-1 and Top-5 accuracy and cross-modal gain per clip and in aggregate; additionally report calibration/confidence metrics (ECE, Brier, margin, entropy, Top-1 probability) and probing-based audio reliance via fixed cue selection and A/V/AV consistency; all metrics computed on the paired clip set (A∩V∩AV) with 95% confidence intervals.</li>
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</ol>
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</details>
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</section>
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