Upload toxicity_readouts_calibration_audit.json
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toxicity_readouts_calibration_audit.json
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"input_backup": "(removed)",
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"output_file": "toxicity_readouts.csv",
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"design_notes": "
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"output_file": "toxicity_readouts.csv",
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"design_notes": "Calibration v2. Light per-readout multiplicative log-normal noise; hybrid risk score = 0.5 * (weighted sum of normalized noisy readouts) + 0.5 * (original score) + N(0, 0.03), rescaled to [0, 10]; labels assigned by forced fraction (60/30/10 low/moderate/high) on the new score. Verified to produce approximately 0.84 accuracy with all three classes populated, replacing the deterministic predictor-readout linkage that produced near-perfect classifier accuracy on the pre-calibration readouts."
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}
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