{"id":"W2791995825","doi":"10.1111/jcpp.12879","title":"Diffusion tensor imaging correlates of early markers of depression in youth at high‐familial risk for bipolar disorder","year":2018,"lang":"en","type":"article","venue":"Journal of Child Psychology and Psychiatry","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; University of Edinburgh; European Commission; Seventh Framework Programme; Alzheimer Society; Wellcome Trust","keywords":"Fractional anisotropy; Major depressive disorder; Psychology; Bipolar disorder; Mood disorders; Depression (economics); Mood; Psychiatry; Diffusion MRI; Clinical psychology; White matter; Internal medicine; Medicine; Magnetic resonance imaging; 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":[0.000430104,0.0002957915,0.0002553232,0.0006972858,0.00038433,0.0004795945,0.0002048248,0.0003563026,0.0009933686],"category_scores_gemma":[0.00192853,0.000223592,0.0001931262,0.0004903011,0.0002056169,0.0002308604,0.0003172755,0.000520297,0.0001285916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845733,"about_ca_system_score_gemma":0.0002103393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005502762,"about_ca_topic_score_gemma":0.01100879,"domain_scores_codex":[0.999833,0.00003684368,0.00002035542,0.00003408508,0.000034066,0.00004154169],"domain_scores_gemma":[0.9987676,0.000107883,0.0007366827,0.00004212379,0.000125818,0.0002199461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004995528,0.0000251533,0.99861,0.000004354737,0.00001732972,0.00009554826,0.0001023975,0.00001775309,0.000235283,0.00001434592,0.00004845855,0.0007793059],"study_design_scores_gemma":[0.000001611825,0.00002519569,0.9996786,0.000003127711,0.000006978044,0.0001426645,0.00006463285,0.00002942541,0.00002020518,0.000008791832,0.00001802123,7.585189e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999592,0.0001349334,0.00002298605,0.00002768525,0.000002050917,0.000003376847,0.00007231229,0.000001385766,0.0001432012],"genre_scores_gemma":[0.9996595,0.00007545234,0.00006917725,0.00000740566,0.000003156787,0.000003697465,0.0001169521,7.95854e-7,0.00006393245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005502762,"threshold_uncertainty_score":0.01094145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354712241150179,"score_gpt":0.3197986571529333,"score_spread":0.3062515347414315,"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."}}