{"id":"W4318915554","doi":"10.1002/mds.29332","title":"A Screening Tool to Quickly Identify Movement Disorders in Patients with Inborn Errors of Metabolism","year":2023,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Occupational Cancer Research Centre; Toronto Western Hospital; University of Toronto; University Health Network","funders":"Rosetrees Trust; National Institute for Health and Care Research; Stichting Stofwisselkracht","keywords":"Movement disorders; Movement assessment; Medicine; Dystonia; Neurological disorder; Seizure Disorders; Physical medicine and rehabilitation; Pediatrics; Psychiatry; Psychology; Epilepsy; Internal medicine; Central nervous system disease; Motor skill","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003529085,0.0003572991,0.0003650866,0.0003674888,0.00008064238,0.00002950965,0.0004141576,0.0001115581,0.00006935484],"category_scores_gemma":[0.00007027701,0.0003395165,0.0001365098,0.0009048069,0.00009599474,0.00001572036,0.0003192506,0.00010083,0.00001950676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001039693,"about_ca_system_score_gemma":0.0000611052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004788341,"about_ca_topic_score_gemma":0.00211064,"domain_scores_codex":[0.9974459,0.00007926059,0.0005516164,0.0006809667,0.0005929759,0.0006492304],"domain_scores_gemma":[0.9990212,0.00001187375,0.000161422,0.0006078602,0.00006933352,0.0001283318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006820465,0.0007642412,0.9223807,0.0001012781,0.0002989529,7.845525e-7,0.0008429992,0.01107437,0.007941047,0.0003289054,0.007604104,0.04798057],"study_design_scores_gemma":[0.003773788,0.000367326,0.9801934,0.00003882515,0.00004096926,5.061025e-9,0.001432691,0.00007109972,0.002527948,0.001960673,0.009082789,0.0005104893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946024,0.0002444912,0.002132026,0.0007268869,0.000228198,0.00123016,0.00008105284,0.00003103949,0.0007237029],"genre_scores_gemma":[0.9944513,0.0003437221,0.001030067,0.002817111,0.00003332055,0.0002638761,0.0003954397,0.00007261977,0.000592572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05781269,"threshold_uncertainty_score":0.9999057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005872662576008863,"score_gpt":0.2355703559289986,"score_spread":0.2296976933529898,"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."}}