{"id":"W2965108857","doi":"","title":"Probability Distillation: A Caveat and Alternatives.","year":2019,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; Université de Montréal","funders":"","keywords":"Computer science; Distillation; Reliability engineering; Environmental science; Engineering; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02135887,0.001200518,0.001815034,0.001830407,0.002272769,0.005487385,0.006765414,0.004771383,0.01172567],"category_scores_gemma":[0.1154267,0.0007659391,0.001168091,0.003567869,0.01385086,0.02107219,0.007137232,0.01628284,0.002984247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243388,"about_ca_system_score_gemma":0.002632578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518913,"about_ca_topic_score_gemma":0.003815609,"domain_scores_codex":[0.9874358,0.006229853,0.0006505628,0.001637476,0.003711167,0.0003351022],"domain_scores_gemma":[0.9313373,0.05073001,0.001219201,0.01212299,0.004072158,0.0005184327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009204546,0.00002655831,0.0002308853,0.0002696853,0.00005972258,0.00005158828,0.0001245004,0.002038816,0.000140725,0.9412077,0.02347176,0.03228589],"study_design_scores_gemma":[0.00002326611,0.00001439773,0.00007429691,0.0001045419,0.00001235853,0.00008354574,0.00003887028,0.005423089,0.0003268017,0.9770442,0.01683395,0.00002067656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006894329,0.04171226,0.7151399,0.1646682,0.008953167,0.0001586182,0.001662384,0.0006738988,0.06013713],"genre_scores_gemma":[0.3500238,0.02961421,0.5321565,0.04409225,0.01477605,0.001015688,0.001004978,0.0009668753,0.02634967],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02135887,"threshold_uncertainty_score":0.1129578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868565856059613,"score_gpt":0.2873961231225094,"score_spread":0.2387104645619132,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}