{"id":"W3007744961","doi":"10.1002/mds.28007","title":"Automated MRI Classification in Progressive Supranuclear Palsy: A Large International Cohort Study","year":2020,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Progressive supranuclear palsy; Parkinsonism; Magnetic resonance imaging; Generalizability theory; Medicine; Cohort; Psychology; Radiology; Internal medicine; Disease","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":[0.002448125,0.0006357981,0.0005407069,0.001555302,0.0007647685,0.001061657,0.0008076606,0.0006431752,0.001502132],"category_scores_gemma":[0.004901655,0.0004550048,0.0006588845,0.001186859,0.0006218342,0.000787997,0.001228508,0.0007513472,0.000634308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694781,"about_ca_system_score_gemma":0.0003723856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004395368,"about_ca_topic_score_gemma":0.004555035,"domain_scores_codex":[0.998505,0.0003947051,0.0001404842,0.0005815762,0.0002450794,0.0001332393],"domain_scores_gemma":[0.9974194,0.0003587849,0.0008054228,0.0006872112,0.0004474259,0.0002817935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002579542,0.0001304238,0.9957362,0.00001650403,0.0001533174,0.0001817429,0.0002672042,0.0000428747,0.0002096701,0.00002768621,0.0003722156,0.00260412],"study_design_scores_gemma":[0.00002982717,0.0002103078,0.9983494,0.00001435894,0.00008622213,0.0004863316,0.0002340182,0.0002081054,0.00004687861,0.00003140034,0.0002941204,0.000009049743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985221,0.0001447127,0.000251283,0.00002452836,0.000008065515,0.0000552234,0.0006155333,0.000007909991,0.0003706921],"genre_scores_gemma":[0.9973021,0.0001598713,0.0005375896,0.00005058926,0.00002727285,0.0000976603,0.001663574,0.00001445438,0.0001469372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004395368,"threshold_uncertainty_score":0.01294708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655925149944717,"score_gpt":0.2940912079297486,"score_spread":0.2775319564303014,"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."}}