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Upload raw_baseline_results.json with huggingface_hub

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+ {
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+ "methodology_note": "Raw single-pass softmax baseline (dropout OFF, model.eval() fully -- NOT MC-Dropout), computed on the SAME held-out validation split (11666 frames / 1049 videos) as research_results.json's MC-Dropout numbers, so the two are directly comparable per architecture. Exists specifically to test H1 as literally worded in the proposal: 'MC Dropout will produce measurably better-calibrated confidence estimates (lower ECE) than each detector's raw softmax confidence.'",
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+ "val_frame_count": 11666,
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+ "val_video_count": 1049,
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+ "models": {
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+ "xception": {
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+ "frame_ece": 0.03287438389485061,
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+ "video_ece": 0.037745457105664085,
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+ "frame_auroc": 0.9976220768807692,
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+ "video_auroc": 0.9995995550611791
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+ }
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+ }
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+ }