{"id":"W2949767599","doi":"10.1523/jneurosci.2060-18.2019","title":"The Human Ventromedial Prefrontal Cortex: Sulcal Morphology and Its Influence on Functional Organization","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; NIH Blueprint for Neuroscience Research; McDonnell Center for Systems Neuroscience; National Institutes of Health; Wellcome Trust","keywords":"Ventromedial prefrontal cortex; Sulcus; Psychology; Default mode network; Neuroscience; Prefrontal cortex; Neuroimaging; Functional neuroimaging; Functional specialization; Functional connectivity; Cognition","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003359872,0.0001189993,0.0001494786,0.0001026579,0.0006067576,0.00009723663,0.0003294894,0.00003725093,0.00001874488],"category_scores_gemma":[0.00986991,0.00008172385,0.00003771855,0.0004009966,0.0003278791,0.0004835578,0.0001368385,0.0003288345,0.00003603581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006040013,"about_ca_system_score_gemma":0.00009180155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.794248e-7,"about_ca_topic_score_gemma":0.000001136436,"domain_scores_codex":[0.9983474,0.0001394239,0.0002804043,0.0003252874,0.0006792791,0.0002281752],"domain_scores_gemma":[0.9973307,0.001943132,0.0003150894,0.0001350836,0.0001906293,0.00008538919],"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":[0.00005935911,0.00005128842,0.005069301,0.00000284688,0.000001334367,0.00002786059,0.00005322448,0.0003751465,0.9898539,0.004181517,0.0002572425,0.00006696374],"study_design_scores_gemma":[0.0005088373,0.001003634,0.9599856,0.00001305004,0.000005974124,0.0008949433,0.00002829979,0.0002400231,0.03509814,0.0004165278,0.001709923,0.0000950123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950204,0.00002385559,0.00003517632,0.00233869,0.002306287,0.0001308757,0.000004060632,0.000013704,0.0001269216],"genre_scores_gemma":[0.9965361,0.00004405041,0.000003515646,0.002891166,0.0001627025,0.000001520817,1.493905e-7,0.00001000306,0.0003507778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9549164,"threshold_uncertainty_score":0.9984704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614145344002832,"score_gpt":0.2546651611029577,"score_spread":0.2285237076629293,"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."}}