{"id":"W2029442436","doi":"10.1038/tp.2015.1","title":"Prefrontal cortex markers of suicidal vulnerability in mood disorders: a model-based structural neuroimaging study with a translational perspective","year":2015,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Institut Servier; Servier; Académie Nationale de Médecine; Fondation pour la Recherche Médicale; Royal Society; American Foundation for Suicide Prevention","keywords":"Ventrolateral prefrontal cortex; Prefrontal cortex; Psychology; Orbitofrontal cortex; Mood disorders; Anterior cingulate cortex; Mood; Neuroimaging; Major depressive disorder; Psychiatry; Clinical psychology; Cognition; Anxiety","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":[0.0006147587,0.0002401139,0.0002368501,0.0003478712,0.0001953628,0.0004339961,0.000275682,0.0002465065,0.0007891321],"category_scores_gemma":[0.0005377167,0.0001893681,0.0004396671,0.0002048885,0.0003939178,0.0002185776,0.0003496405,0.0002133494,0.00007095218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394102,"about_ca_system_score_gemma":0.0003212981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003601783,"about_ca_topic_score_gemma":0.004093148,"domain_scores_codex":[0.9999428,0.00002699159,0.000002452142,0.00001429343,0.000006356406,0.000007068398],"domain_scores_gemma":[0.9998893,0.00002505534,0.00003252405,0.00003403924,0.000007385284,0.00001172765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005646801,0.001919112,0.7308759,0.0003766737,0.001466491,0.001775593,0.002628149,0.01867105,0.1743571,0.004032128,0.0007324461,0.05751843],"study_design_scores_gemma":[0.0002779733,0.00197731,0.9491323,0.00003153804,0.0004913216,0.001795908,0.0006265016,0.03949008,0.00250589,0.003140198,0.0005070867,0.00002380085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987531,0.0001458065,0.0008567949,0.00004091633,0.000001610055,0.00001093756,0.0000257524,0.000007840777,0.0001571794],"genre_scores_gemma":[0.9988741,0.00008354441,0.000925835,0.00000873754,0.000002902242,0.00001136844,0.00003955344,0.000002148275,0.00005174588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003601783,"threshold_uncertainty_score":0.007161677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952900990051517,"score_gpt":0.3263022677021847,"score_spread":0.2967732578016695,"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."}}