{"id":"W2155528202","doi":"10.1503/cmaj.091807","title":"Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":256,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; BC Centre for Disease Control; Hospital for Sick Children; York University; University of Winnipeg; SickKids Foundation; University of Toronto; Public Health Agency of Canada; Ministry of Health and Long Term Care","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Mitacs; University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Confidence interval; Case fatality rate; Hazard ratio; Odds ratio; Pandemic; Demography; Credible interval; Epidemiology; Proportional hazards model; Pediatrics; Internal medicine; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002415953,0.0004882432,0.0003567036,0.0009438683,0.00020304,0.0006639457,0.000471123,0.0004901785,0.0009100405],"category_scores_gemma":[0.02696689,0.0003146449,0.000490425,0.0005098371,0.0004467444,0.0004886644,0.0004332861,0.0005961839,0.0001197908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179568,"about_ca_system_score_gemma":0.001576168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05786629,"about_ca_topic_score_gemma":0.03573368,"domain_scores_codex":[0.9993181,0.0002723447,0.00006026253,0.0001442158,0.0001311522,0.00007384266],"domain_scores_gemma":[0.9890426,0.00741213,0.001724913,0.0006026038,0.001037907,0.0001798719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002113534,0.00007118346,0.7754014,0.00007683023,0.0002486607,0.0001159431,0.0001502766,0.2153082,0.0003554655,0.000835073,0.000384866,0.006840765],"study_design_scores_gemma":[0.00008246316,0.0002002805,0.5625689,0.0001224629,0.0001734427,0.000464856,0.0002213824,0.4298676,0.0007904103,0.004467797,0.0009762509,0.00006411944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817454,0.0003285167,0.01450891,0.0001890751,0.000007314978,0.00007554543,0.002243505,0.00006325857,0.0008384265],"genre_scores_gemma":[0.9948894,0.0001257152,0.002924688,0.00001202324,0.000004166668,0.0000343675,0.001887944,0.000006473376,0.0001151577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05786629,"threshold_uncertainty_score":0.115059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157756054682488,"score_gpt":0.4036415286824147,"score_spread":0.1878659232141659,"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."}}