{"id":"W2049953117","doi":"10.1159/000365590","title":"A Validation Study of Administrative Data Algorithms to Identify Patients with Parkinsonism with Prevalence and Incidence Trends","year":2014,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Institute for Clinical Evaluative Sciences; Centre for Movement Disorders; Toronto Western Hospital; University of Toronto; University Health Network; Sunnybrook Health Science Centre; Toronto Rehabilitation Institute","funders":"Canadian Institutes of Health Research; Health Canada; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Parkinsonism; Incidence (geometry); Epidemiology; Algorithm; Pathology; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.07594635,0.0007459646,0.0005768017,0.00209984,0.000618031,0.001969931,0.001890823,0.001044787,0.0004535939],"category_scores_gemma":[0.206544,0.0004422925,0.001030106,0.001885387,0.0009934722,0.001404379,0.001163854,0.0009781189,0.0002868076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194671,"about_ca_system_score_gemma":0.003120065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008851993,"about_ca_topic_score_gemma":0.005198738,"domain_scores_codex":[0.9634955,0.02188194,0.00342403,0.003446728,0.006792043,0.0009598525],"domain_scores_gemma":[0.792243,0.1277445,0.02302576,0.01602382,0.03940062,0.001562177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005614625,0.0003140449,0.985509,0.00005344834,0.00025582,0.00002442909,0.0003305011,0.001785137,0.0001990984,0.0002297492,0.0003682941,0.01036905],"study_design_scores_gemma":[0.0003901874,0.001820253,0.9189436,0.0001652677,0.0003858601,0.0004819288,0.0005262055,0.0727495,0.002083587,0.0003893429,0.002025622,0.00003874041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893099,0.0003199432,0.007117421,0.0001867843,0.00004347712,0.0006343111,0.001108001,0.00007627621,0.001203828],"genre_scores_gemma":[0.9893504,0.00009360612,0.007993701,0.0001096572,0.00002252534,0.0002332494,0.002082163,0.00002259785,0.00009215419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07594635,"threshold_uncertainty_score":0.4016474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0816418477419341,"score_gpt":0.3821531538361414,"score_spread":0.3005113060942073,"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."}}