{"id":"W2014502213","doi":"10.1016/j.neuroimage.2015.02.043","title":"Functional brain networks underlying detection and integration of disconfirmatory evidence","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Provincial Health Services Authority; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Psychology; Functional magnetic resonance imaging; Salience (neuroscience); Neuroscience; Cognition; Supplementary motor area; Anterior cingulate cortex; Cognitive psychology; Neuroimaging; Functional integration; Insula","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":[0.001814909,0.0003976295,0.0003741429,0.002014956,0.0004232389,0.001763179,0.0008847573,0.001014139,0.003112127],"category_scores_gemma":[0.02530207,0.0003351651,0.0003066354,0.0008697797,0.0008267243,0.002575849,0.0008959507,0.0006865073,0.0003440042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274544,"about_ca_system_score_gemma":0.0004154118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372919,"about_ca_topic_score_gemma":0.001771825,"domain_scores_codex":[0.9993518,0.0001306154,0.00005575294,0.0002016796,0.0001865805,0.00007357367],"domain_scores_gemma":[0.9921052,0.004432464,0.001735436,0.0007900294,0.0007009897,0.000235824],"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":[0.004047726,0.0005601234,0.2854656,0.001148558,0.0008247068,0.003583431,0.004985669,0.006960604,0.3331715,0.03621162,0.003044062,0.3199964],"study_design_scores_gemma":[0.0002063153,0.0006698328,0.7702121,0.0003636421,0.0007521142,0.005519504,0.001657476,0.05474433,0.078251,0.08094203,0.006559516,0.0001222685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566509,0.001625445,0.02895297,0.0009651184,0.00004988144,0.0001507749,0.000465085,0.0001702499,0.01096967],"genre_scores_gemma":[0.9940516,0.0002639409,0.004902323,0.0000527513,0.00003726769,0.00002206983,0.0001628304,0.00002494134,0.0004823294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003112127,"threshold_uncertainty_score":0.01041114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2036483017425368,"score_gpt":0.3208934742530088,"score_spread":0.117245172510472,"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."}}