{"id":"W2899553148","doi":"10.1371/journal.pone.0207030","title":"Accuracy of health administrative data to identify cases of reportable travel or migration-related infectious diseases in Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Malaria; Medicine; Public health; Health care; Cohort; Disease surveillance; Immigration; Disease; Public health surveillance; Environmental health; Diagnosis code; Medical record; Population; Geography; Immunology; Pathology; Surgery","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":[0.006095398,0.000493161,0.0006106601,0.003438923,0.001932184,0.002513982,0.002601306,0.0005433938,0.001272999],"category_scores_gemma":[0.03511333,0.0005107402,0.0008008083,0.006167086,0.0008099044,0.0006612798,0.001551571,0.0005485712,0.0003996346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02875217,"about_ca_system_score_gemma":0.02830251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931017,"about_ca_topic_score_gemma":0.9927124,"domain_scores_codex":[0.9938159,0.0009155307,0.0008093978,0.0009675484,0.002572873,0.0009188335],"domain_scores_gemma":[0.9738935,0.004762314,0.004923999,0.002107491,0.01286363,0.001449016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006741715,0.0000141542,0.9892054,0.00005933231,0.0001054781,0.00005121041,0.0006496265,0.0008073854,0.00008662605,0.0001173047,0.002309245,0.006526747],"study_design_scores_gemma":[0.00001223307,0.00001168434,0.9932691,0.0001151538,0.00005363591,0.00003533617,0.0005584765,0.00314541,0.0001258454,0.00006779187,0.002588384,0.00001686995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443925,0.002899945,0.001762579,0.001833442,0.00008971897,0.0002595157,0.0375768,0.0001970457,0.01098843],"genre_scores_gemma":[0.9875044,0.0008017913,0.0009442293,0.0002056381,0.00001648102,0.00005510233,0.009466823,0.0000207438,0.0009848694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02875217,"threshold_uncertainty_score":0.2086126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1914945049865131,"score_gpt":0.4021730524410396,"score_spread":0.2106785474545265,"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."}}