{"id":"W3146174366","doi":"10.1101/2021.04.02.21254856","title":"Background rates of hospitalizations and emergency department visits for selected thromboembolic and coagulation disorders in Ontario, Canada, 2015 to 2020, to inform COVID-19 vaccine safety surveillance","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; McMaster University; University of British Columbia; Public Health Ontario; University Health Network; University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto; Canadian Institutes of Health Research; Canadian Immunization Research Network; University of Toronto; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Deep vein; Pulmonary embolism; Emergency department; Thrombosis; Stroke (engine); Population; Confidence interval; Venous thrombosis; Intracerebral hemorrhage; Incidence (geometry); Emergency medicine; Pediatrics; Internal medicine; Subarachnoid hemorrhage","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":[0.0009356965,0.0004342141,0.0002952205,0.002174514,0.00136964,0.001044254,0.0009965013,0.0003157101,0.001749655],"category_scores_gemma":[0.00352352,0.000314758,0.0004929615,0.003170755,0.0005220322,0.0004799773,0.0007377231,0.0004351661,0.0002262932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02505989,"about_ca_system_score_gemma":0.03774362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897984,"about_ca_topic_score_gemma":0.9930872,"domain_scores_codex":[0.998425,0.00007714133,0.0001642516,0.000213918,0.0006775795,0.0004421178],"domain_scores_gemma":[0.9952599,0.0001369151,0.001742301,0.0001014466,0.002151698,0.0006077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001900762,0.000009959269,0.9933617,0.0001183034,0.00005583093,0.0000316463,0.0001689958,0.0001612582,0.00006949339,0.0001038285,0.003595899,0.002304015],"study_design_scores_gemma":[0.000006199148,0.00001455136,0.9962484,0.00009945442,0.00002967981,0.00004625704,0.0003317744,0.0002590744,0.00004647127,0.00003448216,0.002877621,0.000006006656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442281,0.006036533,0.0008554602,0.003053165,0.00008905657,0.0002481925,0.1348274,0.0001027222,0.01055939],"genre_scores_gemma":[0.971742,0.002713501,0.0009416267,0.0004832231,0.00004723001,0.000107348,0.02238749,0.00001225992,0.001565272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505989,"threshold_uncertainty_score":0.1818231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838414767349469,"score_gpt":0.3061206100872809,"score_spread":0.2877364624137863,"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."}}