{"id":"W1993837825","doi":"10.1016/j.procs.2014.05.383","title":"Supervised Discretization for Optimal Prediction","year":2014,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Discretization; Artificial intelligence; Machine learning; Mathematical optimization; Mathematics","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":[0.004571093,0.0006850156,0.001733466,0.0007686591,0.0006242614,0.001254893,0.001409279,0.001187015,0.002123093],"category_scores_gemma":[0.01688639,0.0005571656,0.001007354,0.0009607752,0.00106233,0.001564601,0.00147491,0.0026435,0.00059373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238934,"about_ca_system_score_gemma":0.001698323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003786457,"about_ca_topic_score_gemma":0.003309957,"domain_scores_codex":[0.9969198,0.001510431,0.0002472506,0.0005662477,0.0006039502,0.0001524568],"domain_scores_gemma":[0.9904644,0.00683147,0.0003711334,0.001077683,0.001081322,0.0001739924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002882751,0.0001265271,0.002177221,0.0001928528,0.0001117601,0.00008842523,0.0001921338,0.7450472,0.001856867,0.04538501,0.004136188,0.2003976],"study_design_scores_gemma":[0.000007522526,0.00001270984,0.00008318927,0.000006513818,0.000002540091,0.000009285836,0.000005769486,0.9847122,0.0002857609,0.01454331,0.000327751,0.000003326257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005236958,0.0001812663,0.9934714,0.0001282071,0.00003545629,0.00003162209,0.00008378745,0.0003255873,0.0005057972],"genre_scores_gemma":[0.3391709,0.0003196331,0.6560906,0.0002579317,0.0001510803,0.0003971762,0.001120526,0.0001966719,0.002295521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004571093,"threshold_uncertainty_score":0.02417457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054849940146963,"score_gpt":0.2299287971226056,"score_spread":0.219380297721136,"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."}}