{"id":"W3200988931","doi":"10.1007/s42650-021-00053-z","title":"Counting the Dead: COVID-19 and Mortality in Quebec and British Columbia During the First Wave","year":2021,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Excess mortality; Coronavirus disease 2019 (COVID-19); Demography; Pandemic; Geography; Death toll; Mortality rate; Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Disease; Sociology","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":[0.001825687,0.0004832388,0.0005989844,0.002043664,0.003540837,0.0031925,0.002570094,0.001990051,0.00545389],"category_scores_gemma":[0.007813549,0.0003489802,0.0007912849,0.005847948,0.001205963,0.001417633,0.001684831,0.003742715,0.0006663914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06418885,"about_ca_system_score_gemma":0.04160323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988534,"about_ca_topic_score_gemma":0.9992172,"domain_scores_codex":[0.998521,0.0001783675,0.00007192514,0.0001140632,0.0002997945,0.0008147723],"domain_scores_gemma":[0.9926737,0.0007064035,0.001007698,0.0001787925,0.003432587,0.00200077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002453417,0.0001577177,0.9289805,0.00007648407,0.0001681239,0.0002478427,0.002846127,0.00297646,0.0000905682,0.002418694,0.04621841,0.01557381],"study_design_scores_gemma":[0.00001950298,0.00002977987,0.9802942,0.0001292121,0.00005253324,0.0000400153,0.008649353,0.002830438,0.00006705706,0.0002842608,0.007556279,0.0000473107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925742,0.003075918,0.0003178715,0.01816975,0.0002182385,0.00007745624,0.0401012,0.00003809086,0.01225946],"genre_scores_gemma":[0.971114,0.00213505,0.0001392405,0.001140669,0.00007411654,0.00004872024,0.01243553,0.00002498273,0.01288773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06418885,"threshold_uncertainty_score":0.4657249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07092645657895909,"score_gpt":0.2812492539145671,"score_spread":0.210322797335608,"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."}}