{"id":"W2101249915","doi":"10.1109/tsmcb.2006.876163","title":"Customized Generalization of Support Patterns for Classification","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generalization; Computer science; Artificial intelligence; Pattern recognition (psychology); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002976395,0.0002438087,0.0003289925,0.0001791882,0.0001870953,0.0002038242,0.0004166643,0.0001449321,0.00001412846],"category_scores_gemma":[0.000003360799,0.0002468912,0.0001073709,0.0002621965,0.00008363197,0.0001687723,0.000006470546,0.0001108734,0.00002365092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485744,"about_ca_system_score_gemma":0.00005013384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003207327,"about_ca_topic_score_gemma":0.00008218973,"domain_scores_codex":[0.9980485,0.00007466185,0.0007022387,0.0005528296,0.0003220394,0.0002997201],"domain_scores_gemma":[0.9985407,0.0001246304,0.0003049426,0.0007040203,0.0002132935,0.0001124004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002342173,0.004494775,0.001897342,0.001478756,0.0005989974,0.0000128485,0.00323605,0.06012291,0.03798206,0.5758094,0.05344116,0.2606915],"study_design_scores_gemma":[0.003000514,0.0005202587,0.002668378,0.0001884699,0.0001946796,0.00004369483,0.0002084581,0.8955126,0.02209948,0.001137292,0.07358734,0.0008387869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0165039,0.00007348708,0.9805263,0.0002067171,0.0006310102,0.000723813,0.0003148335,0.0001234223,0.0008964554],"genre_scores_gemma":[0.9839448,0.0001598542,0.01096101,0.00005507279,0.0001495951,0.000368643,0.0001087165,0.00003487113,0.004217481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695653,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489994496210301,"score_gpt":0.2506023051036985,"score_spread":0.2257023601415954,"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."}}