{"id":"W3210147931","doi":"10.5281/zenodo.4265603","title":"Response to increasing COVID-19 infection rates in Alberta - an open letter to Premier Jason Kenney","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Coronavirus Infections; Medicine; Virology; Outbreak; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001835297,0.0004432713,0.0002947193,0.0005651664,0.004814765,0.001932746,0.001534708,0.00826145,0.01266801],"category_scores_gemma":[0.00529281,0.0003573958,0.0003727562,0.0004354589,0.001146409,0.0004828134,0.001617192,0.006414677,0.001720979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165636,"about_ca_system_score_gemma":0.02498296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6746892,"about_ca_topic_score_gemma":0.8177986,"domain_scores_codex":[0.998494,0.0001490445,0.00006939562,0.00009230174,0.0006128825,0.0005823299],"domain_scores_gemma":[0.9948907,0.0007387171,0.0002309636,0.00006482475,0.001743474,0.002331361],"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":[0.0001324203,0.00006350908,0.008819411,0.00007932256,0.00001409499,0.001354183,0.0006273136,0.0001226741,0.0008231727,0.0005105846,0.9702172,0.01723596],"study_design_scores_gemma":[0.0001560896,0.0003282186,0.07480496,0.0004551942,0.00005780258,0.001149526,0.006623073,0.0006830164,0.0008431899,0.0007594305,0.9140542,0.00008538759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01647746,0.005432816,0.0002708414,0.9333119,0.01601368,0.0001323377,0.0007170045,0.0002260674,0.02741785],"genre_scores_gemma":[0.1131312,0.006722613,0.001181972,0.7082937,0.009384713,0.0001340255,0.001222844,0.0001414889,0.1597874],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3253108,"threshold_uncertainty_score":0.6544532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283817689764888,"score_gpt":0.4043687320982744,"score_spread":0.2759869631217856,"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."}}