{"id":"W4286382655","doi":"10.1101/2022.07.20.22277868","title":"White Matter Microstructure in Habit and Reward Circuits in Anorexia Nervosa: Insights from a Neurite Orientation Dispersion and Density Imaging Study","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health","keywords":"White matter; Neuroscience; Neurite; Psychology; Putamen; Diffusion MRI; Neuroimaging; Medicine; Biology; Magnetic resonance imaging; Radiology","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":[0.0002481591,0.0002103435,0.0001385062,0.0008134345,0.0001932082,0.0002510702,0.0001187868,0.0002008365,0.001088547],"category_scores_gemma":[0.0003645133,0.00018034,0.0001126888,0.0003030994,0.0002601423,0.0001930618,0.0002719025,0.0001650291,0.00009784893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192338,"about_ca_system_score_gemma":0.0001288842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003164277,"about_ca_topic_score_gemma":0.005260296,"domain_scores_codex":[0.9999422,0.000009012635,0.000006319809,0.00001847344,0.00001543483,0.000008677945],"domain_scores_gemma":[0.9997503,0.00003047502,0.0001043121,0.00002087826,0.00003801882,0.00005607159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001132175,0.0001939114,0.7060977,0.00009528185,0.0001682416,0.001194585,0.0007314211,0.0003073936,0.2772748,0.0001426802,0.00009181693,0.01257011],"study_design_scores_gemma":[0.000004753487,0.0001081683,0.9966561,0.000004169817,0.00001523947,0.0009320008,0.0001157529,0.0002362433,0.00183138,0.00002930747,0.0000641098,0.000002700081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995915,0.00008009392,0.0001632944,0.000003880803,5.571989e-7,0.000003517511,0.00004174506,0.000002525289,0.000112903],"genre_scores_gemma":[0.9991196,0.00008546108,0.0005349245,0.000005368993,0.000001560149,0.000004358214,0.00007914931,0.000002567913,0.0001669765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003164277,"threshold_uncertainty_score":0.006291747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222291747863005,"score_gpt":0.2789809565073985,"score_spread":0.2667580390287684,"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."}}