{"id":"W2945122541","doi":"10.1186/s12889-019-6924-9","title":"Getting a grippe on severity: a retrospective comparison of influenza-related hospitalizations and deaths captured in reportable disease and administrative data sources in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Medicine; Diagnosis code; Epidemiology; Public health; Biostatistics; Retrospective cohort study; Medical diagnosis; Hospital discharge; Disease; Medical emergency; Comparability; Emergency medicine; Environmental health; Database; Pediatrics; Intensive care medicine; Population; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002893336,0.0006026688,0.0008766226,0.003394152,0.002591349,0.00227776,0.002050966,0.0005040005,0.001238373],"category_scores_gemma":[0.01040289,0.0006818852,0.001349971,0.01223041,0.001141555,0.0009453253,0.001820229,0.000685639,0.0001854136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03386773,"about_ca_system_score_gemma":0.03407094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923552,"about_ca_topic_score_gemma":0.9932624,"domain_scores_codex":[0.9937484,0.0004972996,0.0008164187,0.0009564603,0.0027589,0.001222509],"domain_scores_gemma":[0.9856454,0.000962558,0.004597591,0.0006203668,0.006712874,0.001461208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004675108,0.000007727871,0.998172,0.00003748067,0.0001320501,0.00003504561,0.0003989431,0.00004240956,0.00004417418,0.00002882779,0.0004097218,0.0006448044],"study_design_scores_gemma":[0.000004240975,0.00001185227,0.9983732,0.000035185,0.00005020623,0.00003212978,0.0009046012,0.000140353,0.00002338356,0.000007007994,0.0004081878,0.000009594691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970357,0.002036277,0.0003114021,0.00046941,0.00003278953,0.0001619858,0.02434965,0.00001828831,0.002263306],"genre_scores_gemma":[0.9926323,0.0006551704,0.0001607677,0.0001177387,0.0000103057,0.0000527688,0.006041871,0.00001017235,0.0003188296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03386773,"threshold_uncertainty_score":0.2457287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317266755992039,"score_gpt":0.4004611191736655,"score_spread":0.2687344435744616,"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."}}