{"id":"W1986368257","doi":"10.1016/j.pscychresns.2009.07.010","title":"Neural correlates of inhibitory deficits in depression","year":2009,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Neural correlates of consciousness; Functional magnetic resonance imaging; Anterior cingulate cortex; Psychology; Major depressive disorder; Depression (economics); Neuroscience; Negative priming; Clinical psychology; Amygdala; Cognition; Selective attention","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":[0.0002491947,0.0003171149,0.0001966478,0.0005658514,0.0001934899,0.000492958,0.0003173953,0.0002971936,0.001620788],"category_scores_gemma":[0.001467551,0.0001731854,0.00008168453,0.0004056877,0.0004665933,0.000273058,0.0002162342,0.0005079074,0.0001003291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301228,"about_ca_system_score_gemma":0.0001687599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983588,"about_ca_topic_score_gemma":0.004228954,"domain_scores_codex":[0.9999522,0.0000111785,0.000004788741,0.000009394589,0.00001020095,0.0000121841],"domain_scores_gemma":[0.9994319,0.0002183969,0.0002087389,0.00003518156,0.00005262026,0.00005309491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009962792,0.001342783,0.5930843,0.0004695216,0.0007985415,0.002733947,0.0009707287,0.001915552,0.2873968,0.002511854,0.0009387572,0.09787441],"study_design_scores_gemma":[0.00006169127,0.0001918594,0.9947038,0.00001490469,0.00007807765,0.0006236833,0.0001681386,0.0003057863,0.002892802,0.0008209319,0.0001334542,0.000004915326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973902,0.0005989467,0.0001874955,0.0000979796,0.000004124297,0.00001069199,0.0001009964,0.000002953822,0.001606706],"genre_scores_gemma":[0.9991797,0.0003552907,0.0001120803,0.00003896581,0.000008410007,0.000008041196,0.00007086722,0.000001929199,0.0002246326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002983588,"threshold_uncertainty_score":0.00593245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.188747284153549,"score_gpt":0.4414999400246606,"score_spread":0.2527526558711116,"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."}}