{"id":"W4407956228","doi":"10.18280/isi.300212","title":"Optimizing Feature Selection Based on the Black-Winged Kite Algorithm","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kite; Selection (genetic algorithm); Feature selection; Computer science; Algorithm; Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248521,0.0009985123,0.002170827,0.001259223,0.0005725086,0.0008735345,0.001413726,0.001466634,0.004237543],"category_scores_gemma":[0.003508348,0.0005283278,0.00104566,0.00112834,0.0005266718,0.001025049,0.001048509,0.0009439745,0.001194542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061056,"about_ca_system_score_gemma":0.0009086598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034888,"about_ca_topic_score_gemma":0.003952115,"domain_scores_codex":[0.9991134,0.0002880239,0.00004946978,0.0001699537,0.0002501145,0.0001290854],"domain_scores_gemma":[0.9990371,0.0005051565,0.00004261171,0.00009243123,0.0002794439,0.0000432116],"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":[0.0007087733,0.0001962891,0.001638709,0.0001120755,0.0002657607,0.0001633976,0.00004992917,0.3918081,0.01101979,0.004594272,0.006529924,0.582913],"study_design_scores_gemma":[0.00003273025,0.00005159607,0.0002788297,0.000004140042,0.00001695436,0.00002810907,0.000005160155,0.9969012,0.001053019,0.00122492,0.0003962608,0.000007111072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02724582,0.0004285347,0.9698672,0.0001712744,0.00007126664,0.00006154147,0.00006891594,0.0009113568,0.001174125],"genre_scores_gemma":[0.4324602,0.0002608121,0.5580142,0.0003142038,0.000101045,0.0002946926,0.0006253626,0.0002587545,0.007670686],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004237543,"threshold_uncertainty_score":0.01417595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006307421788952142,"score_gpt":0.2125233838199577,"score_spread":0.2062159620310056,"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."}}