{"id":"W2137060511","doi":"10.1371/journal.pone.0027768","title":"Neural Correlates of Effective Learning in Experienced Medical Decision-Makers","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"National Institute of Mental Health; National Institute on Aging; National Institutes of Health; National Institute on Drug Abuse; Wellcome Trust","keywords":"Nucleus accumbens; Functional magnetic resonance imaging; Neural correlates of consciousness; Cognitive psychology; Dorsolateral prefrontal cortex; Associative learning; Prefrontal cortex; Inferior parietal lobule; Psychology; Neuroscience; Contrast (vision); Medicine; Audiology; Cognition; Artificial intelligence; Computer science; Central nervous system","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":[0.0008318495,0.0001799395,0.0001432537,0.0002904764,0.00009303036,0.0004941887,0.0001595017,0.0003683813,0.001219547],"category_scores_gemma":[0.005619119,0.0001875918,0.0000750346,0.00009713115,0.0005325259,0.0002502337,0.0003090017,0.0003119763,0.0001298822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451147,"about_ca_system_score_gemma":0.0001327712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946563,"about_ca_topic_score_gemma":0.0007882831,"domain_scores_codex":[0.9997453,0.00009395946,0.00001456188,0.00005937812,0.00003664091,0.00005023013],"domain_scores_gemma":[0.9981285,0.0007602022,0.0005901286,0.0001279705,0.00007650448,0.0003166574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001303152,0.0007053621,0.8878777,0.00006447759,0.0001866148,0.0005907028,0.001217369,0.007076489,0.06843993,0.000561987,0.0001979794,0.03177826],"study_design_scores_gemma":[0.0000238556,0.0007089719,0.9858664,0.000005657853,0.00001814466,0.0002200926,0.0002226819,0.008576148,0.003438283,0.0008206511,0.00008564317,0.00001346594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996531,0.0000109667,0.0001800919,0.00001226133,5.888689e-7,0.00000186699,0.000006972365,0.000001383523,0.0001327382],"genre_scores_gemma":[0.9997565,0.000008260774,0.0001441122,0.000004521319,0.000001250289,0.000001417022,0.0000100802,5.879411e-7,0.00007329092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001219547,"threshold_uncertainty_score":0.00439924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134207349742916,"score_gpt":0.2600401122778556,"score_spread":0.1986980387804264,"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."}}