{"id":"W4283168953","doi":"10.1503/cmaj.220842","title":"Correction to “Excess mortality, COVID-19 and health care systems in Canada”","year":2022,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data science; Computer science; Coronavirus Infections; Betacoronavirus; Medicine; World Wide Web; Virology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006230638,0.002550673,0.002519225,0.005238963,0.006858758,0.005392661,0.004811503,0.007775204,0.08743019],"category_scores_gemma":[0.07740277,0.001544612,0.002340551,0.006503631,0.003311598,0.002098773,0.002887623,0.01479104,0.03217233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02594128,"about_ca_system_score_gemma":0.08716279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8531463,"about_ca_topic_score_gemma":0.8701376,"domain_scores_codex":[0.9893909,0.0006363182,0.001216097,0.0009343314,0.00619258,0.001629832],"domain_scores_gemma":[0.9312139,0.005028386,0.001877497,0.0021585,0.05630204,0.003419617],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005238212,0.000001027664,0.00005359609,0.00002041769,0.000002292945,0.00001717991,0.000008760449,0.000009500504,0.000002236241,0.0001410261,0.9987796,0.0009591542],"study_design_scores_gemma":[0.00005494309,0.000008086165,0.002018236,0.0005914679,0.0000308599,0.000145007,0.0001325032,0.0001802145,0.00008199646,0.0005161655,0.996187,0.00005343169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001626254,0.001489959,0.000421463,0.1196546,0.8572765,0.00006468136,0.0124929,0.0006416183,0.007795696],"genre_scores_gemma":[0.02486807,0.01293744,0.007179277,0.278896,0.3274165,0.0004766276,0.02937157,0.003177416,0.3156771],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9937693,"threshold_uncertainty_score":0.295437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397993965164965,"score_gpt":0.3786434673936118,"score_spread":0.3346635277419621,"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."}}