{"id":"W3034081969","doi":"10.1093/cercor/bhaa129","title":"Neural Correlates of Evidence and Urgency During Human Perceptual Decision-Making in Dynamically Changing Conditions","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Western University; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perception; Cognitive psychology; Computer science; Psychology; Neural correlates of consciousness; Fusiform gyrus; Task (project management); Sensory system; Computational model; Artificial intelligence; Neuroscience; Functional magnetic resonance imaging; Cognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004340006,0.0001291761,0.0001834439,0.0002845633,0.0001072365,0.0004324292,0.0001078117,0.000201648,0.0006193403],"category_scores_gemma":[0.00492209,0.0001657572,0.00008208346,0.0001616006,0.0003717048,0.0003124406,0.0002985935,0.0003173224,0.00005397911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389008,"about_ca_system_score_gemma":0.00009809538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005386876,"about_ca_topic_score_gemma":0.0007856367,"domain_scores_codex":[0.999873,0.00003501689,0.000009185624,0.0000339723,0.00003284902,0.00001590822],"domain_scores_gemma":[0.9990019,0.0005860673,0.0002130551,0.00006061419,0.00005695713,0.00008145321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002221308,0.0001220361,0.1122868,0.0001373323,0.0001667793,0.0002365743,0.0009846759,0.005822931,0.8330345,0.001543606,0.0002001298,0.04324349],"study_design_scores_gemma":[0.00001829397,0.0002798777,0.9679699,0.00000932851,0.00002834298,0.0002594201,0.0001112515,0.01230766,0.0163588,0.002444494,0.0001809534,0.00003168254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977913,0.00005493142,0.001639597,0.00002130519,0.000003778668,0.000006773122,0.00004211525,0.00001112216,0.0004290983],"genre_scores_gemma":[0.9991811,0.00002856176,0.000671106,0.000007752848,0.000003343364,0.000004382339,0.00003112208,0.000005873565,0.00006668128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006193403,"threshold_uncertainty_score":0.002295196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816915232358752,"score_gpt":0.3060494185946602,"score_spread":0.2478802662710727,"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."}}