{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093054,0.0000321322,0.00002789599,0.00003004445,0.00004643172,0.00005471105,0.0002102885,0.00001814675,0.00002791217],"category_scores_gemma":[0.00002234979,0.00002696432,0.00001250853,0.0001116263,0.000004032343,0.0003220167,0.00001876444,0.00005239508,0.0001463803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008220736,"about_ca_system_score_gemma":0.000009207421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007634949,"about_ca_topic_score_gemma":3.175961e-7,"domain_scores_codex":[0.9996314,0.00001757061,0.0000621485,0.0001374915,0.00008395417,0.00006743014],"domain_scores_gemma":[0.999652,0.000007887547,0.00001904408,0.0002749258,0.00001543031,0.00003069619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003971066,0.00006897347,0.0006855559,0.000001734044,0.000002582025,0.000003021499,0.0002512727,0.0009765114,0.002171973,0.3473792,0.06441708,0.5840381],"study_design_scores_gemma":[0.0002079806,0.0001705022,0.08096777,0.000004466471,0.000002232607,0.00001719319,0.0000175537,0.6877784,0.0004998298,0.001362945,0.2288656,0.0001055281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002168578,0.00001047673,0.9409009,0.005293099,0.00008432369,0.00002771727,5.568916e-7,0.0003339085,0.0511805],"genre_scores_gemma":[0.8147873,0.00001037826,0.1815904,0.0009264148,0.00006091466,0.000001195119,0.00001288172,0.000001218964,0.002609283],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8126187,"threshold_uncertainty_score":0.1881471,"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."}}