{"id":"W2187881536","doi":"","title":"A Race Model of Perceptual Forced Choice Reaction Time","year":2003,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Priming (agriculture); Perception; Computer science; Mathematics; Speech recognition; Econometrics; Statistics; Algorithm; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008925152,0.0002888596,0.0003240724,0.0001250193,0.0001734159,0.0001854262,0.0003477522,0.0001410517,0.0002048284],"category_scores_gemma":[0.0006685057,0.0002425732,0.0001842342,0.0004269799,0.0002644288,0.002952134,0.0001201656,0.0003956799,0.001947069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827496,"about_ca_system_score_gemma":0.00004018602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.579194e-7,"about_ca_topic_score_gemma":1.783108e-7,"domain_scores_codex":[0.9981041,0.0001228842,0.0004137211,0.0005966028,0.0003329024,0.0004298122],"domain_scores_gemma":[0.9990769,0.0002078845,0.0001670939,0.0003463011,0.00002751933,0.0001742699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001054451,0.0003049688,0.01286049,0.00001563189,0.000006995037,0.00001092151,0.0000331839,0.00001183307,0.9822516,0.0007430398,0.00236021,0.001295688],"study_design_scores_gemma":[0.001561706,0.0003976803,0.003523141,0.00006389581,0.00005394913,0.00007070454,0.00005985743,0.0005246014,0.9245584,0.01062317,0.05765693,0.000905949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621229,0.00002634794,0.00002480171,0.0003600862,0.000106119,0.0002449634,0.000760065,0.0002581885,0.03609654],"genre_scores_gemma":[0.9882101,0.00001336656,0.0002029762,0.0008452825,0.00003745051,0.00001744821,0.00003297054,0.00005192296,0.01058846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05769318,"threshold_uncertainty_score":0.99883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593681802538034,"score_gpt":0.2887248860859067,"score_spread":0.2127880680605264,"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."}}