{"id":"W3202449113","doi":"10.1007/s42650-021-00056-w","title":"The Burden of COVID-19 in Canada","year":2021,"lang":"en","type":"editorial","venue":"Canadian Studies in Population","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Per capita; Geography; Nova scotia; Population; Outbreak; Socioeconomics; Demography; Per capita income; Economic growth; Medicine; Disease; Sociology; Economics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005025981,0.000181675,0.0006265708,0.0003212814,0.0001359292,0.000008112294,0.0001143982,0.0002785507,0.00001646971],"category_scores_gemma":[0.01765406,0.0001548196,0.00004548124,0.0004762394,0.00006268651,0.00002330159,0.00003640918,0.0005787979,6.072683e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02978125,"about_ca_system_score_gemma":0.07358955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999942,"about_ca_topic_score_gemma":0.9999967,"domain_scores_codex":[0.9980307,0.0001201141,0.0006024856,0.0002698313,0.0005359014,0.0004409328],"domain_scores_gemma":[0.9971328,0.001544992,0.0001842522,0.0003596488,0.0002921579,0.0004861229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003409411,0.000002342246,0.02845852,0.0009167541,0.00005018265,0.000348171,0.001391846,0.000190404,1.721912e-7,0.00003268516,0.9666981,0.00187673],"study_design_scores_gemma":[0.0005813536,0.00002879679,0.02602446,0.0006442411,0.00003489025,0.000002065216,0.00462245,0.00003545175,2.746943e-7,0.0001203863,0.9677749,0.0001307673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01850362,0.02814974,5.586165e-7,0.03026744,0.9211207,0.001062561,0.0004581073,0.00001085193,0.0004264076],"genre_scores_gemma":[0.5870046,0.004834538,0.00001148869,0.001528979,0.4047968,0.00006043035,0.0009952206,0.000042952,0.0007250097],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.568501,"threshold_uncertainty_score":0.9906207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08217835149136106,"score_gpt":0.4250460169108545,"score_spread":0.3428676654194935,"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."}}