{"id":"W3124122716","doi":"10.1049/ell2.12083","title":"Stable ant‐antlion optimiser for feature selection on high‐dimensional data","year":2021,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Feature selection; Selection (genetic algorithm); Computer science; Feature (linguistics); ANT; Ecology; Artificial intelligence; Biology; Computer network","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":[0.001334119,0.000942493,0.001055471,0.0009977549,0.0004934378,0.0008709191,0.0009732377,0.0008261297,0.001063689],"category_scores_gemma":[0.002632146,0.0004158732,0.0007913026,0.0009696554,0.0006324976,0.0006808816,0.0006033795,0.0007327589,0.0002803347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914023,"about_ca_system_score_gemma":0.0008065362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003203971,"about_ca_topic_score_gemma":0.002416913,"domain_scores_codex":[0.9994066,0.0001851958,0.00003527577,0.0001145611,0.0001996619,0.00005868644],"domain_scores_gemma":[0.9992724,0.0003859905,0.00008421267,0.00004172735,0.0001872923,0.00002835146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001869051,0.00007585249,0.001493792,0.0001004086,0.0001174713,0.00009258743,0.0001088531,0.8287795,0.008942178,0.003590664,0.001402001,0.1551098],"study_design_scores_gemma":[0.000008449218,0.00002744937,0.0001319402,0.000002401481,0.000005329846,0.000009682919,0.000006442923,0.998599,0.0005269869,0.0005341521,0.000144802,0.000003488741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0442816,0.0003148399,0.9534078,0.0001247938,0.00003865739,0.00006115172,0.00002650455,0.0003475295,0.001397127],"genre_scores_gemma":[0.6528537,0.000235111,0.3430452,0.0001504683,0.00004538632,0.0002747676,0.0001499679,0.0001177399,0.003127708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003203971,"threshold_uncertainty_score":0.007055581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937424667944825,"score_gpt":0.2503677449615346,"score_spread":0.2309934982820863,"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."}}