{"id":"W2944068640","doi":"10.1007/s12264-019-00381-w","title":"White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging","year":2019,"lang":"en","type":"article","venue":"Neuroscience Bulletin","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"White matter; Fractional anisotropy; Diffusion MRI; Corpus callosum; Neurocognitive; Major depressive disorder; Psychology; Subgroup analysis; Depression (economics); Medicine; Internal medicine; Oncology; Psychiatry; Magnetic resonance imaging; Neuroscience; Cognition; Radiology; Meta-analysis","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":[0.0002283065,0.0003466926,0.000183039,0.0008839466,0.000298316,0.0004362396,0.0002609494,0.0003252277,0.001557535],"category_scores_gemma":[0.0009795186,0.000199551,0.0001940223,0.0004364214,0.0003950954,0.0003817076,0.0003471861,0.0003277586,0.0002713721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002826853,"about_ca_system_score_gemma":0.0001737478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724691,"about_ca_topic_score_gemma":0.005319832,"domain_scores_codex":[0.9999224,0.00001082017,0.00001545619,0.00001829021,0.00001414409,0.00001876284],"domain_scores_gemma":[0.9997435,0.0000407938,0.000126646,0.00001612259,0.00003439552,0.00003845582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003099457,0.0001847048,0.8762497,0.00008971943,0.0002274887,0.01673125,0.0006267994,0.0003566993,0.07659649,0.0005899418,0.0007991375,0.02444862],"study_design_scores_gemma":[0.00001918533,0.00009950325,0.9914305,0.00001287029,0.00003652813,0.006134653,0.0002178931,0.0004083397,0.001098943,0.0003594143,0.0001765475,0.00000559109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984781,0.000298056,0.0001471821,0.00009043788,0.000008175186,0.000009099151,0.0001289656,0.00000384131,0.0008359958],"genre_scores_gemma":[0.9990957,0.0002149243,0.0001864169,0.00003362844,0.00001477347,0.000004142735,0.0001461253,0.00000320614,0.0003010735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003724691,"threshold_uncertainty_score":0.007406056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682247521030394,"score_gpt":0.2899825822187401,"score_spread":0.2731601070084362,"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."}}