{"id":"W2140886528","doi":"10.1109/ccece.1993.332440","title":"A weighted minimum distance classifier for pattern recognition","year":2002,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Computer science; Mathematics","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":[0.002023437,0.0009091535,0.001628029,0.002529267,0.0006804444,0.00172063,0.002012026,0.001966251,0.004103581],"category_scores_gemma":[0.004913904,0.0005522618,0.001013364,0.002501231,0.0006364244,0.00277435,0.001151707,0.001878436,0.004362258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008700436,"about_ca_system_score_gemma":0.0008981901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343246,"about_ca_topic_score_gemma":0.00198798,"domain_scores_codex":[0.9967921,0.0004788315,0.0002400493,0.0005745103,0.001771232,0.000143195],"domain_scores_gemma":[0.9985492,0.0004357005,0.00009063687,0.0002040973,0.0006648403,0.00005563033],"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":[0.0001477615,0.0001227614,0.0005557488,0.0001959854,0.000122776,0.00009482837,0.00004554752,0.03778774,0.02034253,0.01659372,0.009406221,0.9145843],"study_design_scores_gemma":[0.00002716558,0.0001125069,0.0006216346,0.00004209627,0.00003844089,0.0002991632,0.00001825727,0.9445676,0.01476371,0.01745884,0.02200347,0.00004722645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002283346,0.000816571,0.9947864,0.0001205049,0.0001331138,0.00005652709,0.00008126428,0.0006161163,0.001106245],"genre_scores_gemma":[0.0492751,0.001003932,0.9421478,0.0001989716,0.0002298836,0.0002176374,0.0007362105,0.0002007491,0.005989743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004103581,"threshold_uncertainty_score":0.01372778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04827944050850626,"score_gpt":0.2396713975563627,"score_spread":0.1913919570478565,"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."}}