{"id":"W2112284223","doi":"","title":"The Decision List Machine","year":2002,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Support vector machine; Generalization; Machine learning; Artificial intelligence; Training set; Generalization error; Classifier (UML); Data mining; Margin classifier; Structured support vector machine; Artificial neural network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191926,0.00005127591,0.00004009505,0.00001754695,0.0002962947,0.0002223748,0.0006542508,0.00001397765,0.0002179478],"category_scores_gemma":[0.00006471164,0.00002629926,0.00002978139,0.0001552255,0.00001654459,0.00009152901,0.0001481184,0.0001044943,0.000471473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005132307,"about_ca_system_score_gemma":0.000001988463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000500432,"about_ca_topic_score_gemma":0.00001698649,"domain_scores_codex":[0.9994575,0.0000282278,0.00008183198,0.0001374787,0.000161462,0.0001334669],"domain_scores_gemma":[0.9993293,0.000209809,0.00001933991,0.0003831444,0.00001601369,0.00004238735],"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":[3.060611e-7,0.00001071581,0.000214862,2.632882e-7,0.000001445569,0.000003199207,0.00005268943,0.00003674984,0.000005238312,0.03590608,0.01645062,0.9473178],"study_design_scores_gemma":[0.00006671692,0.00001810994,0.0004203314,0.000001599662,3.24586e-7,0.000009968405,0.000001563544,0.7369599,0.00002445008,0.002041586,0.2604142,0.00004125684],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008998564,0.0006013513,0.9072304,0.008316732,0.00043091,0.00003391476,1.593449e-7,0.000226636,0.08225998],"genre_scores_gemma":[0.7978556,0.0001511983,0.129805,0.001315282,0.0001807718,0.000004466739,3.672978e-7,0.00000817087,0.07067914],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9472766,"threshold_uncertainty_score":0.6059989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009034827736112755,"score_gpt":0.2237757678421051,"score_spread":0.2147409401059923,"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."}}