{"id":"W2345990059","doi":"","title":"Bayesian n-Choose-k Models for Classification and Ranking","year":2012,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bayesian probability; Computer science; Ranking (information retrieval); Artificial intelligence; Machine learning; Data mining","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":[0.0005033103,0.0001249149,0.0001321342,0.0001156611,0.0002830466,0.000829422,0.0002401441,0.00008209746,3.35568e-7],"category_scores_gemma":[0.00002832427,0.0001106336,0.00002655066,0.0001833381,0.00002070669,0.009793091,0.00003947501,0.00009091227,0.000005317156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002651454,"about_ca_system_score_gemma":0.00003451772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000934214,"about_ca_topic_score_gemma":1.436683e-7,"domain_scores_codex":[0.9989431,0.0000317142,0.0004008711,0.0001270044,0.0002096634,0.0002876504],"domain_scores_gemma":[0.9992139,0.00004099712,0.0002468842,0.0001811635,0.0002040018,0.0001130499],"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":[0.00001464415,0.00002756754,0.0005372883,0.0008026952,0.00001002666,9.065982e-8,0.008484355,0.01449821,0.0003464991,0.1802905,0.0006154978,0.7943726],"study_design_scores_gemma":[0.0001941536,0.00001431418,0.0002783019,0.00006680522,0.000004687327,0.00002546398,0.0001853286,0.9964334,0.0000499337,0.00138949,0.001216483,0.0001416548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001927241,0.0005174757,0.9953325,0.0003327112,0.0004190484,0.0002877681,0.000002478489,0.0002365553,0.0009441894],"genre_scores_gemma":[0.9822812,0.000007028244,0.01716721,0.0002841341,0.000111209,0.00009497802,0.00001182728,0.000006105696,0.00003627959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9819351,"threshold_uncertainty_score":0.7998135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986201314790345,"score_gpt":0.2787099136030391,"score_spread":0.2188479004551356,"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."}}