{"id":"W2971124522","doi":"10.1016/s2589-7500(19)30107-4","title":"Improving parkinsonism diagnosis with machine learning","year":2019,"lang":"en","type":"letter","venue":"The Lancet Digital Health","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Progressive supranuclear palsy; Parkinsonism; Medicine; Disease; Scopus; Neurology; Parkinson's disease; Psychology; Pediatrics; MEDLINE; Pathology; Psychiatry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002229274,0.0005007269,0.001145992,0.0001003904,0.0002450723,0.0001950232,0.0002643466,0.0002430076,0.00006130564],"category_scores_gemma":[0.00006255224,0.000282774,0.0001801097,0.0001614521,0.00006907932,0.0001405512,0.0001033355,0.00195295,0.000324479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468423,"about_ca_system_score_gemma":0.0005093944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004428549,"about_ca_topic_score_gemma":0.00001764894,"domain_scores_codex":[0.9973614,0.0001042521,0.0003141046,0.0006202857,0.0006207764,0.0009792057],"domain_scores_gemma":[0.9982629,0.0002879047,0.0004083575,0.0008154148,0.00005418306,0.0001711701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005708708,0.0002677383,0.06862102,0.003024838,0.0006981766,0.001723779,0.000223077,0.000007199509,8.183067e-7,0.00003723809,0.7932655,0.1315597],"study_design_scores_gemma":[0.002283514,0.001190842,0.003076044,0.0007565946,0.0001549382,0.0001847121,0.00001686098,0.000156177,0.000009360323,0.0001068087,0.9917691,0.0002950132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0122612,0.00623019,0.0001922296,0.9691867,0.000452504,0.00222629,0.001231325,0.0004599568,0.007759657],"genre_scores_gemma":[0.1755993,0.001241653,0.0002784627,0.8059595,0.004440283,0.0002586944,0.002804798,0.0002248767,0.009192522],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1985036,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882313723828124,"score_gpt":0.2766714961772599,"score_spread":0.2478483589389787,"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."}}