{"id":"W4407934590","doi":"10.1007/978-3-031-81010-7_20","title":"Machine Learning and Optimization Algorithms for Feature Selection","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Feature selection; Selection (genetic algorithm); Artificial intelligence; Machine learning; Feature (linguistics); Algorithm; Pattern recognition (psychology)","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":[0.0003998681,0.0002954318,0.0002864808,0.0006038365,0.0003817998,0.0004289512,0.0005975657,0.0003053475,0.000007921584],"category_scores_gemma":[0.00009959909,0.0002698221,0.00006309332,0.000400022,0.0001292548,0.0004546876,0.000411458,0.0005578276,0.000002282547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027205,"about_ca_system_score_gemma":0.0001863946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000999397,"about_ca_topic_score_gemma":0.00001595572,"domain_scores_codex":[0.9981334,0.00002363663,0.0002203985,0.0009702386,0.0003371986,0.0003151501],"domain_scores_gemma":[0.998983,0.0002979259,0.0001591416,0.0002384342,0.0002450102,0.00007644896],"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":[0.000006240371,0.000008711891,0.00002419594,0.0000453864,0.000006313302,0.000002833586,0.0001197039,0.1719378,0.00007953638,0.001692807,0.00007483297,0.8260016],"study_design_scores_gemma":[0.0002469177,0.0001288349,0.00000681877,0.0002770118,0.000007778423,0.00001915101,7.646631e-8,0.9757885,0.0009511851,0.01812468,0.004164578,0.0002845181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002037634,0.0006269648,0.9963234,0.0008995146,0.0007757971,0.0003960804,0.00000836595,0.000147681,0.0008201734],"genre_scores_gemma":[0.0009358773,0.0002194534,0.9959037,0.000638481,0.0002083651,0.00001713767,0.00004400048,0.00001624502,0.002016707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8257172,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164240956668274,"score_gpt":0.2499485643144871,"score_spread":0.2383061547478044,"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."}}