{"id":"W2510625620","doi":"10.9778/cmajo.20160009","title":"Using physician billing claims from the Ontario Health Insurance Plan to determine individual influenza vaccination status: an updated validation study","year":2016,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; Toronto Public Health","funders":"","keywords":"Medicine; Vaccination; Influenza vaccine; Diagnosis code; Population; Family medicine; Seasonal influenza; Environmental health; Internal medicine; Immunology; Disease; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008530418,0.0006773498,0.00060458,0.001688139,0.001041823,0.001305528,0.001610423,0.0007159345,0.001013495],"category_scores_gemma":[0.02689376,0.0005128385,0.001058864,0.002578957,0.0007927782,0.00083286,0.0008475152,0.000676662,0.0003774304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005431753,"about_ca_system_score_gemma":0.00546402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5833649,"about_ca_topic_score_gemma":0.533567,"domain_scores_codex":[0.9951774,0.001097832,0.0004001269,0.0006145618,0.002285216,0.0004248489],"domain_scores_gemma":[0.9732151,0.004720116,0.007533192,0.003629557,0.00993479,0.0009672238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001328403,0.00004678462,0.9968174,0.00002334757,0.000121763,0.00002293202,0.0001594531,0.0001100809,0.00008890581,0.00001450523,0.000465061,0.00199682],"study_design_scores_gemma":[0.00001967293,0.00003332236,0.998689,0.0000111901,0.00004465714,0.00003782816,0.00004711636,0.0006133837,0.00004991204,0.000008063365,0.0004402696,0.000005485114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903245,0.0003624958,0.0007992766,0.00009548209,0.00001738925,0.0002116606,0.006570518,0.00002875312,0.001589961],"genre_scores_gemma":[0.9894373,0.0001724395,0.0007046601,0.00007623389,0.00002064524,0.0001111121,0.009188042,0.0000138168,0.0002757326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5833649,"threshold_uncertainty_score":0.8381775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2997895589152785,"score_gpt":0.4527463000105766,"score_spread":0.1529567410952981,"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."}}