{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739425,0.0002207624,0.0004210352,0.0001257609,0.0005462181,0.0002267532,0.0005038221,0.00005025054,0.0001382371],"category_scores_gemma":[0.0001570471,0.0001273461,0.00003371579,0.0003549058,0.00003499698,0.0008108093,0.0004971841,0.0002303429,0.00006168485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008504204,"about_ca_system_score_gemma":0.0006491438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1452681,"about_ca_topic_score_gemma":0.1108433,"domain_scores_codex":[0.9975587,0.0003410742,0.0004735606,0.0004838042,0.0006267933,0.0005160326],"domain_scores_gemma":[0.9984999,0.0001517875,0.0002107108,0.0006342041,0.0002714453,0.000231963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006212225,0.0003075344,0.9022958,0.000008227207,0.0001856757,0.00000676269,0.02563939,0.00007413587,0.0034108,0.00000753556,0.0003790687,0.06706388],"study_design_scores_gemma":[0.003726416,0.0009643803,0.9854366,0.0001900931,0.00003988004,9.863925e-7,0.002347671,0.00004860803,0.002124269,0.00008718354,0.004848383,0.0001854978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949384,0.00004465677,0.0002093786,0.0007411534,0.0001048561,0.003544968,0.0002331731,0.00004693134,0.0001365277],"genre_scores_gemma":[0.9941245,0.00000788825,0.001473442,0.003870803,0.0001815447,0.0000989539,0.000152498,0.00003513324,0.00005526657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08314086,"threshold_uncertainty_score":0.9053814,"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."}}