{"id":"W2058115154","doi":"10.1145/1553374.1553519","title":"Optimal reverse prediction","year":2009,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Supervised learning; Artificial intelligence; Computer science; Machine learning; Cluster analysis; Semi-supervised learning; Graph; Regression; Unsupervised learning; Unification; Simple (philosophy); Principal component analysis; Pattern recognition (psychology); Artificial neural network; Mathematics; Statistics; Theoretical computer science","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":[0.003016036,0.001034483,0.00113462,0.0008723434,0.0006478056,0.001677315,0.0016874,0.001327881,0.003279875],"category_scores_gemma":[0.01278629,0.0006111941,0.0008351154,0.0007702733,0.002162321,0.003813833,0.002467863,0.002460744,0.001697077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862787,"about_ca_system_score_gemma":0.001328886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152771,"about_ca_topic_score_gemma":0.001543097,"domain_scores_codex":[0.9976266,0.0009035984,0.0001012551,0.0006598346,0.0005510722,0.0001576874],"domain_scores_gemma":[0.9944912,0.002591251,0.0004120604,0.001507172,0.000873934,0.0001242785],"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":[0.0002127287,0.000134673,0.002499179,0.0002456896,0.0001014293,0.0001347885,0.0002268109,0.3129769,0.005952302,0.3828109,0.01129292,0.2834116],"study_design_scores_gemma":[0.00001020259,0.00003518604,0.0002745012,0.00002300008,0.00001080696,0.00006529389,0.00002261611,0.7842924,0.002982471,0.208958,0.003307391,0.00001808918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003924791,0.0001234549,0.9935463,0.000232723,0.00003254894,0.00002126273,0.0000554593,0.0003100974,0.00175333],"genre_scores_gemma":[0.3719144,0.0005707093,0.6168295,0.0004919685,0.0002206881,0.0002899314,0.0007812598,0.0005969153,0.008304655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003279875,"threshold_uncertainty_score":0.01595056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199005730912401,"score_gpt":0.2465562287759169,"score_spread":0.2345661714667929,"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."}}