{"id":"W1873820756","doi":"","title":"Static and dynamic overproduction and selection of classifier ensembles with genetic algorithms","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Humanities; Selection (genetic algorithm); Philosophy; Computer science; Artificial intelligence","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":[0.00004604085,0.00006337379,0.00007721917,0.00005262499,0.0001007116,0.00002686061,0.00007273661,0.00001830551,0.000003364903],"category_scores_gemma":[0.000004179151,0.00004964164,0.000005457215,0.0002052603,0.00008128914,0.0002154719,0.00003929354,0.00003696288,0.000001090868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008433955,"about_ca_system_score_gemma":0.00002972452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008897654,"about_ca_topic_score_gemma":0.00002229727,"domain_scores_codex":[0.9994567,0.00001148445,0.00009930344,0.000249358,0.00009780429,0.00008537149],"domain_scores_gemma":[0.9997128,0.00002159219,0.00004628335,0.0001362924,0.0000463897,0.0000366637],"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":[0.0000102071,0.0001470873,0.006834431,0.00005609846,0.00004845442,0.0000057026,0.001337175,0.0001470256,0.01171013,0.006006463,0.0008967258,0.9728005],"study_design_scores_gemma":[0.0002718029,0.0002423373,0.2198735,0.00001287155,0.00001089603,0.0005099282,0.00006428892,0.7757542,0.001936152,0.0005799309,0.0006029317,0.0001411706],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3790669,0.00004645154,0.6204153,0.0002345758,0.00001392125,0.00007125236,0.000002404773,0.00003667118,0.0001124855],"genre_scores_gemma":[0.5249847,0.0001544673,0.4745161,0.00002550545,0.000009315738,0.000009070673,0.000001824445,0.000003737471,0.0002953716],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9726593,"threshold_uncertainty_score":0.2024327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163096256897105,"score_gpt":0.2234308860257504,"score_spread":0.2117999234567793,"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."}}