{"id":"W2982063848","doi":"10.1503/jpn.180243","title":"Time heals all wounds? A 2-year longitudinal diffusion tensor imaging study in major depressive disorder","year":2019,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; Superior longitudinal fasciculus; Major depressive disorder; Fractional anisotropy; White matter; Corpus callosum; Psychology; Cardiology; Internal medicine; Medicine; Psychiatry; Magnetic resonance imaging; Neuroscience; Radiology; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008924013,0.0001980735,0.0003288115,0.0003727398,0.0007650137,0.000739826,0.000316681,0.0007964779,0.0006017702],"category_scores_gemma":[0.0016867,0.0003252659,0.0004316274,0.0004199787,0.0002716507,0.0006940554,0.00036845,0.0007679841,0.0002012723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004869247,"about_ca_system_score_gemma":0.0005378643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009580171,"about_ca_topic_score_gemma":0.01328822,"domain_scores_codex":[0.9998119,0.00005325616,0.00001742869,0.00004130561,0.0000283639,0.0000477862],"domain_scores_gemma":[0.9990759,0.00005372464,0.0004508402,0.00005721211,0.0001145581,0.0002477395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007538965,0.0004870012,0.9937669,0.00001945551,0.00008512905,0.0002852023,0.0006391868,0.00002900284,0.0008356771,0.00002352867,0.0002781052,0.002796774],"study_design_scores_gemma":[0.00001496139,0.000296572,0.9990203,0.000007047735,0.00001910947,0.0001304131,0.0003058025,0.00005140686,0.00002634854,0.00001437701,0.0001097732,0.000003827174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995217,0.0001852744,0.00002130618,0.00009679512,0.000005047595,0.000008470182,0.00007861017,0.000001075902,0.00008167906],"genre_scores_gemma":[0.9993818,0.0001399515,0.00006104543,0.00006379381,0.000008596499,0.00001107386,0.0001950248,8.6734e-7,0.0001379218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009580171,"threshold_uncertainty_score":0.01904881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793683304580416,"score_gpt":0.3461763405610605,"score_spread":0.3182395075152564,"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."}}