{"id":"W2137744864","doi":"","title":"Probabilistic n-Choose-k Models for Classification and Ranking","year":2012,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorical variable; Prior probability; Probabilistic logic; Computer science; Poisson distribution; Inference; Artificial intelligence; Mathematics; Ranking (information retrieval); Machine learning; Pattern recognition (psychology); Statistics; Bayesian probability","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004812166,0.0003326275,0.0003140508,0.0004278468,0.0005059385,0.002124334,0.00180499,0.0001785684,0.00002086758],"category_scores_gemma":[0.0002426946,0.0003629753,0.0001338106,0.0008141991,0.0000860549,0.0147217,0.001194891,0.0002678311,0.0003713154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267328,"about_ca_system_score_gemma":0.0001006791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006762455,"about_ca_topic_score_gemma":0.000006123356,"domain_scores_codex":[0.9976918,0.00008163354,0.0002930583,0.0007924187,0.0003908669,0.0007502856],"domain_scores_gemma":[0.9979616,0.0002237395,0.0001551357,0.0006689106,0.0003500925,0.0006405407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003790438,0.0004754838,0.03952225,0.0002561162,0.0001496884,0.00002251645,0.001442842,0.00175449,0.001454282,0.8184388,0.001196733,0.1349077],"study_design_scores_gemma":[0.00450183,0.0005486034,0.1112046,0.0006442614,0.000293951,0.0001162106,0.0002318161,0.2563694,0.002610252,0.118405,0.5007519,0.004322313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1754699,0.00002002106,0.8148413,0.0002950926,0.000249732,0.0007015984,0.00006225998,0.0003513049,0.008008852],"genre_scores_gemma":[0.9904308,0.00001872041,0.007886263,0.0003708218,0.00008868936,0.00001711326,0.00003743079,0.00002944842,0.001120763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8149609,"threshold_uncertainty_score":0.9998822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0850773780527327,"score_gpt":0.2743933822400066,"score_spread":0.1893160041872739,"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."}}