{"id":"W2150954665","doi":"10.1109/icpr.2006.365","title":"Class Separability in Spaces Reduced By Feature Selection","year":2006,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Feature selection; Curse of dimensionality; Artificial intelligence; Pattern recognition (psychology); Feature vector; Support vector machine; Computer science; Linear classifier; Classifier (UML); Selection (genetic algorithm); Class (philosophy); Feature extraction; Feature (linguistics); Dimensionality reduction; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001129438,0.00006439596,0.00006746646,0.00004790153,0.00004306786,0.00008498226,0.0001402437,0.00007389487,0.00003224615],"category_scores_gemma":[0.000008900281,0.00005279843,0.00002223431,0.0003209445,0.00001063794,0.0003585525,0.00003138916,0.00009843359,0.00004567517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003347334,"about_ca_system_score_gemma":0.0000157171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427414,"about_ca_topic_score_gemma":0.000223874,"domain_scores_codex":[0.9993709,0.00004639875,0.00008693057,0.0002411193,0.0001141629,0.0001404948],"domain_scores_gemma":[0.9997681,0.00002365692,0.00002588346,0.0001282404,0.00003021083,0.0000239273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001188269,0.0002032292,0.005574755,0.000008121516,0.000001955108,0.000001763782,0.00009214946,0.0001654478,0.340647,0.002629656,0.6338707,0.01679331],"study_design_scores_gemma":[0.0007041297,0.00009921798,0.04382195,0.00003849916,0.000002583597,0.00001206812,0.00005811035,0.07617794,0.8249912,0.01377302,0.03993528,0.0003860102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271207,0.00005647901,0.0415908,0.006153894,0.0001815776,0.0001487069,0.000001481031,0.000236764,0.02450956],"genre_scores_gemma":[0.9869788,0.000003180728,0.008773349,0.0001834661,0.00002786553,0.00001102892,0.000007885629,0.000002384226,0.004012031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5939354,"threshold_uncertainty_score":0.2153057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994538448580035,"score_gpt":0.2298487802224304,"score_spread":0.2238542417738503,"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."}}