{"id":"W4312424614","doi":"10.1007/978-3-030-95995-1_11","title":"Ensemble Classification","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Toolbox; Classifier (UML); Computer science; Machine learning; Artificial intelligence; Cascading classifiers; Ensemble learning; Table (database); Random subspace method; Pattern recognition (psychology); Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001049463,0.001351378,0.001085356,0.001546287,0.0008722449,0.001943579,0.001619076,0.001151689,0.03857682],"category_scores_gemma":[0.0021257,0.0003699143,0.001160299,0.001761311,0.0003705515,0.002526049,0.001808832,0.002075691,0.03171493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334548,"about_ca_system_score_gemma":0.0006385293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069104,"about_ca_topic_score_gemma":0.002784672,"domain_scores_codex":[0.9991604,0.0001100871,0.00003422515,0.0002556687,0.0003548694,0.00008478898],"domain_scores_gemma":[0.9992228,0.0001410028,0.00002859631,0.0003114964,0.0002578065,0.00003836969],"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":[0.00006419168,0.0000888274,0.0005519384,0.0001145924,0.00007303789,0.00003562078,0.00003053992,0.01039891,0.004399547,0.02310788,0.1030033,0.8581316],"study_design_scores_gemma":[0.00002131538,0.0001890249,0.002426137,0.0001844274,0.000165151,0.0007252679,0.0001203143,0.4404876,0.02720457,0.1168371,0.411566,0.00007316139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009458952,0.002913968,0.7931525,0.001357801,0.002243958,0.0003432709,0.002854954,0.00721601,0.1804586],"genre_scores_gemma":[0.1402565,0.003876517,0.4818583,0.001642735,0.002190864,0.0005748525,0.01602886,0.00189153,0.3516799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03857682,"threshold_uncertainty_score":0.1290523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311780887947959,"score_gpt":0.2719820484088922,"score_spread":0.2288642395294126,"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."}}