{"id":"W2132319264","doi":"10.1111/j.1467-8640.2012.00439.x","title":"ROBUSTNESS INSTEAD OF ACCURACY SHOULD BE THE PRIMARY OBJECTIVE FOR SUBJECTIVE PATTERN RECOGNITION RESEARCH: STABILITY ANALYSIS ON MULTICANDIDATE ELECTORAL COLLEGE VERSUS DIRECT POPULAR VOTE","year":2012,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Robustness (evolution); Computer science; Facial recognition system; Artificial intelligence; Pattern recognition (psychology); Machine learning; Stability (learning theory); Metric (unit); Algorithm","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":[0.001747911,0.0001970933,0.0003110905,0.0003631038,0.000398014,0.00007665879,0.0006237293,0.00009762425,0.00002540594],"category_scores_gemma":[0.001116024,0.0001538812,0.0002153318,0.001712828,0.0002153168,0.0007333115,0.000194845,0.0003238496,0.00001216709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481281,"about_ca_system_score_gemma":0.0001604546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002093567,"about_ca_topic_score_gemma":0.000154424,"domain_scores_codex":[0.9972107,0.0006573034,0.0004479506,0.0005130166,0.0007228189,0.0004481672],"domain_scores_gemma":[0.9924642,0.00548771,0.0002359874,0.0004046014,0.001288851,0.0001186874],"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":[0.00464809,0.00366865,0.01751393,0.0003527252,0.002314402,0.000008170425,0.01216997,0.4930006,0.001818362,0.006664956,0.001749243,0.4560909],"study_design_scores_gemma":[0.0007066907,0.00074117,0.03305893,0.0001133327,0.0001910002,0.000002872457,0.001052618,0.9087429,0.04893717,0.005821726,0.0001430813,0.0004884935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2708005,0.0000811748,0.726988,0.0004327978,0.0003702321,0.0007711984,0.0002960424,0.00004865174,0.0002114063],"genre_scores_gemma":[0.9878532,0.00001181196,0.0114345,0.0001776101,0.00008069353,0.00018002,0.0002413679,0.00001165802,0.00000916464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7170526,"threshold_uncertainty_score":0.6275092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2602430512321675,"score_gpt":0.3992222022390399,"score_spread":0.1389791510068724,"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."}}