{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005543919,0.0004933624,0.0008957874,0.0002381922,0.0001525571,6.448316e-7,0.0002639353,0.0002535045,0.02136618],"category_scores_gemma":[0.001322198,0.0003381162,0.0001173478,0.0006748168,0.0001843205,0.0001658325,0.0001581051,0.001293225,0.00006417416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009733143,"about_ca_system_score_gemma":0.001610158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8655533,"about_ca_topic_score_gemma":0.3594086,"domain_scores_codex":[0.9955849,0.00009465277,0.001468787,0.0005507728,0.001413044,0.0008878288],"domain_scores_gemma":[0.9974145,0.0001000644,0.0003855297,0.0004962177,0.0008614007,0.0007422961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001683038,0.00004361257,0.6465631,0.0001058528,0.0003753515,0.000007365451,0.0004843914,0.000005865752,0.003380084,0.00002990048,0.3479989,0.0008373546],"study_design_scores_gemma":[0.001868103,0.001285881,0.9722942,0.0002954372,0.0001814536,0.00002785791,0.0001589305,0.00008721081,0.0001447075,0.0001495925,0.02322781,0.0002788036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788151,0.01447902,0.000004457767,0.0008258558,0.001210282,0.001216947,0.00004698878,0.00004517634,0.00335615],"genre_scores_gemma":[0.9750634,0.01670005,0.00004238907,0.0007275919,0.0007127986,0.0001785464,0.00005680336,0.00005539762,0.006462994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5061447,"threshold_uncertainty_score":0.9999071,"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."}}