{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878966,0.0002144788,0.0005188396,0.0001355949,0.00006765512,0.000009016285,0.0001922557,0.00004969333,0.00001884782],"category_scores_gemma":[0.0005347086,0.0001434634,0.00001678822,0.0002190985,0.00008902269,0.0001432206,0.0001502898,0.0001185678,0.000004134456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001814854,"about_ca_system_score_gemma":0.00004588996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009078773,"about_ca_topic_score_gemma":0.00005175251,"domain_scores_codex":[0.9979079,0.0004674215,0.0003332316,0.0007795717,0.0002703171,0.000241554],"domain_scores_gemma":[0.9982483,0.00035579,0.0002524448,0.0007915617,0.0001172044,0.0002347319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000883918,0.001047869,0.9849947,0.00004879866,0.000118753,0.00004230663,0.0002039222,0.00001016042,0.00009071096,0.00003513815,0.00007713598,0.01244656],"study_design_scores_gemma":[0.003329461,0.01237677,0.9826252,0.00007559645,0.0003812299,0.00002833382,0.00004518356,0.0003342922,0.0001578152,0.00004197721,0.0004861409,0.0001180297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976072,0.00002446198,0.001226292,0.0002196463,0.00005206234,0.0006625625,0.00008492648,0.00002802311,0.00009478677],"genre_scores_gemma":[0.9966722,0.00001680216,0.002660314,0.000369226,0.00002828849,0.0000713887,0.0001086328,0.00001972659,0.00005342464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232853,"threshold_uncertainty_score":0.5850268,"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."}}