{"id":"W4214774297","doi":"10.1016/j.ijid.2021.12.055","title":"Excess Deaths during COVID-19 pandemic in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Infectious Diseases","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Betacoronavirus; Virology; Geography; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006579082,0.000414669,0.0002638328,0.001610857,0.001758412,0.0008619541,0.0008222708,0.0003651743,0.002098917],"category_scores_gemma":[0.001122856,0.0002124893,0.0004080153,0.002191882,0.000487475,0.0003014527,0.0007931719,0.0006427091,0.0002263752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02495644,"about_ca_system_score_gemma":0.02577125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902495,"about_ca_topic_score_gemma":0.9956969,"domain_scores_codex":[0.9992521,0.00004207503,0.00003040944,0.00006669047,0.0003092884,0.0002994229],"domain_scores_gemma":[0.9988838,0.00003747514,0.0001775935,0.00001632023,0.0005776848,0.0003072286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003023935,0.00003112331,0.9683061,0.0001752402,0.00008868895,0.000485629,0.0005629131,0.0006647685,0.0004014328,0.0002074674,0.01083166,0.01794243],"study_design_scores_gemma":[0.0000114929,0.00003208185,0.9954625,0.0001049607,0.00002941582,0.0001653243,0.001044311,0.0003910274,0.00007611678,0.00005120669,0.00261561,0.00001609144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559194,0.005236574,0.0003708064,0.002244286,0.0001959177,0.0001181621,0.02320452,0.00009899252,0.0126113],"genre_scores_gemma":[0.9863024,0.002466387,0.0004326254,0.0007483843,0.00005876171,0.00003029997,0.007384128,0.00001115173,0.0025659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02495644,"threshold_uncertainty_score":0.1810725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795102851470928,"score_gpt":0.3845256686729072,"score_spread":0.3565746401581979,"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."}}