{"id":"W2468194642","doi":"10.1007/s00521-016-2458-6","title":"Prototype selection for dynamic classifier and ensemble selection","year":2016,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Classifier (UML); Artificial intelligence; Machine learning; Pattern recognition (psychology); Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001587158,0.00008445529,0.00007521983,0.00005835434,0.0004043525,0.0001056572,0.000116335,0.00004394394,8.278169e-7],"category_scores_gemma":[0.00003019707,0.00006357395,0.00001670357,0.0001934827,0.00002952472,0.0001644265,0.00005117956,0.00007332581,0.000005402269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001944471,"about_ca_system_score_gemma":0.00001642773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009024549,"about_ca_topic_score_gemma":0.00001192474,"domain_scores_codex":[0.999255,0.0000364561,0.0001294629,0.000369672,0.0000638866,0.0001455141],"domain_scores_gemma":[0.9994929,0.0001616079,0.00008020084,0.000141174,0.00007063882,0.00005341977],"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":[0.000007745064,0.00002094291,0.003974599,0.000022665,0.000004527656,1.982177e-8,0.00003810056,0.00003089778,0.02561389,0.04913804,0.0001628975,0.9209857],"study_design_scores_gemma":[0.0003770539,0.0001747808,0.03444479,0.00001785581,0.00000898385,0.00003862942,0.000007219712,0.9289529,0.0007437899,0.0048731,0.03019352,0.0001673972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04081906,0.00003586986,0.9556685,0.002508055,0.00003112216,0.0005390034,0.000002293543,0.0002360233,0.0001600756],"genre_scores_gemma":[0.9756862,0.00001395383,0.02370082,0.00007996074,0.00007716766,0.0001662587,0.000006633921,0.000007170932,0.0002618627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9348671,"threshold_uncertainty_score":0.3109993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601551121461373,"score_gpt":0.290738541293404,"score_spread":0.2747230300787902,"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."}}