{"id":"W2070750060","doi":"10.1111/acem.12111","title":"Impact of Seasonal and Pandemic Influenza on Emergency Department Visits, 2003–2010, Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Toronto Public Health; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Emergency department; Confidence interval; Pandemic; Influenza-like illness; Seasonal influenza; Ambulatory; Emergency medicine; Population; Demography; Pediatrics; Coronavirus disease 2019 (COVID-19); Environmental health; Internal medicine; Disease; Virology; Infectious disease (medical specialty)","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":[0.0008911123,0.0004633631,0.0003702582,0.0009772456,0.001796639,0.0009663841,0.001179826,0.0003754715,0.001828276],"category_scores_gemma":[0.003449158,0.0003660156,0.0007600214,0.002850723,0.0004856084,0.0003951293,0.0008128373,0.0007131834,0.0001730364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.056405,"about_ca_system_score_gemma":0.07524917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986901,"about_ca_topic_score_gemma":0.9993553,"domain_scores_codex":[0.9988919,0.00007830819,0.00009949053,0.0001425833,0.0004789986,0.0003086507],"domain_scores_gemma":[0.9963775,0.0001462474,0.000661466,0.00005940371,0.002087813,0.0006674428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002813022,0.00004337006,0.9811437,0.0002072235,0.0001497014,0.0001602129,0.000820162,0.0006603505,0.0002243182,0.000167805,0.007220341,0.00892143],"study_design_scores_gemma":[0.00001132295,0.00001398087,0.9976967,0.00003863993,0.00003032293,0.00002807672,0.0003803548,0.0003443035,0.00003098106,0.00001175887,0.001407645,0.000005916432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273615,0.006819703,0.0003777629,0.003113131,0.0001472798,0.000167012,0.05255741,0.00005782115,0.009398462],"genre_scores_gemma":[0.9848157,0.002163965,0.0004402834,0.0002758874,0.00002845268,0.00004550135,0.00852541,0.00001490495,0.003689997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.056405,"threshold_uncertainty_score":0.4092489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08002003856873643,"score_gpt":0.3979792554330715,"score_spread":0.317959216864335,"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."}}