{"id":"W7133057974","doi":"","title":"Neuroimaging of Brain Iron in Schizophrenia","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Schizophrenia (object-oriented programming); Substantia nigra; Neuroimaging; Grey matter; Pathophysiology; Psychosis","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":[0.0001319471,0.00009365065,0.00005867004,0.000677836,0.0001489025,0.0001740278,0.00007130959,0.0001403019,0.001600315],"category_scores_gemma":[0.0003194018,0.00007768976,0.00005136697,0.000186944,0.0002177235,0.0001442976,0.0002022605,0.0001262284,0.0001084179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328806,"about_ca_system_score_gemma":0.0002314537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003813693,"about_ca_topic_score_gemma":0.005977734,"domain_scores_codex":[0.9999822,0.000005468056,0.000001743878,0.000002514451,0.000004296882,0.000003719439],"domain_scores_gemma":[0.9999659,0.000007657923,0.00001180379,0.000001766192,0.000005373336,0.000007486901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001906116,0.0002522139,0.3304481,0.0009263766,0.0001654396,0.01144016,0.005551579,0.001182461,0.3591192,0.005523029,0.004660854,0.2788245],"study_design_scores_gemma":[0.00004997849,0.0002493661,0.9781108,0.0001193784,0.00002907504,0.008641012,0.001460467,0.0007716133,0.003814141,0.003998695,0.00274338,0.00001214115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898596,0.002225812,0.0005334,0.0004417344,0.000005946149,0.00002121958,0.0001327768,0.00001019628,0.006769279],"genre_scores_gemma":[0.9964546,0.001603084,0.0007244436,0.00005393657,0.00001218317,0.00001318592,0.00007659282,0.000003006261,0.001058975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003813693,"threshold_uncertainty_score":0.007582963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295366296650787,"score_gpt":0.3384740234059946,"score_spread":0.3089373937409159,"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."}}