{"id":"W3123833328","doi":"10.2147/ndt.s287351","title":"Exploring the Effects of Temperament on Gray Matter Volume of Frontal Cortex in Patients with Mood Disorders","year":2021,"lang":"en","type":"article","venue":"Neuropsychiatric Disease and Treatment","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China; China Scholarship Council; Shanghai Municipal Health Commission","keywords":"Temperament; Bipolar disorder; Medicine; Major depressive disorder; Mood; Grey matter; Mood disorders; Magnetic resonance imaging; Audiology; Psychiatry; Neuroscience; Internal medicine; Psychology; White matter; Radiology; Anxiety; Personality","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":[0.0002553865,0.0002218595,0.0001713529,0.000512295,0.0001831569,0.000286178,0.0001033036,0.0001704437,0.00076437],"category_scores_gemma":[0.0006240089,0.0001261678,0.0001903278,0.0002236267,0.0001551321,0.0001321105,0.000192394,0.0001406514,0.00008513037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496034,"about_ca_system_score_gemma":0.00006883813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013124,"about_ca_topic_score_gemma":0.001955544,"domain_scores_codex":[0.9999161,0.00002486352,0.00001044783,0.00002394896,0.000009962005,0.00001455607],"domain_scores_gemma":[0.9997447,0.00004860058,0.0001263873,0.00002220357,0.00002247458,0.00003562789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005113045,0.00002623885,0.9894699,0.00001715362,0.0001191085,0.0001506349,0.0001149977,0.00008829192,0.005009675,0.00001710478,0.00005652191,0.004419042],"study_design_scores_gemma":[0.000003659431,0.00004421668,0.9993831,0.000002316729,0.00001916871,0.0002232124,0.00003234082,0.00007998441,0.000148072,0.00002225512,0.00004071253,9.891696e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995226,0.0001621639,0.00006402729,0.000009634361,0.000001468575,0.000002756224,0.00007156997,0.000001764683,0.0001640309],"genre_scores_gemma":[0.9997329,0.00005656721,0.00009381209,0.000006060629,0.000001684093,0.000002749285,0.00007842944,6.859224e-7,0.00002715787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013124,"threshold_uncertainty_score":0.002557099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006033952410275064,"score_gpt":0.1964456203960355,"score_spread":0.1904116679857605,"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."}}