{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006443446,0.001039459,0.001285771,0.0009072955,0.0006591986,0.00152831,0.003356157,0.001934864,0.007611806],"category_scores_gemma":[0.01575255,0.0005832098,0.002031517,0.0006046348,0.001885515,0.004222534,0.001173778,0.002491481,0.002390513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589603,"about_ca_system_score_gemma":0.001304137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003011785,"about_ca_topic_score_gemma":0.001493168,"domain_scores_codex":[0.9971411,0.0008145015,0.00009666114,0.0008536672,0.0006447558,0.000449356],"domain_scores_gemma":[0.9913812,0.004681569,0.001108565,0.001371428,0.001041702,0.0004155768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006638878,0.0002501603,0.006987631,0.0001296517,0.0001649949,0.0005783465,0.0007235257,0.1831414,0.01916697,0.7441438,0.005523221,0.03852635],"study_design_scores_gemma":[0.00004059337,0.0001117072,0.001335877,0.00001119723,0.00003052083,0.0002474838,0.00001286129,0.8452476,0.001036646,0.1503718,0.001507903,0.00004583866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04500768,0.0002836639,0.9446905,0.001216875,0.0002216943,0.00009788652,0.0003209636,0.0006689349,0.007491794],"genre_scores_gemma":[0.8637238,0.0004220529,0.1140451,0.000732534,0.0003427086,0.0006294018,0.0003406423,0.0003752632,0.01938851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007611806,"threshold_uncertainty_score":0.03407657,"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."}}