{"id":"W3172604151","doi":"10.33384/26587270.2021.05.01.08e","title":"Specifics of COVID-19 in Siberia","year":2021,"lang":"en","type":"article","venue":"Siberian Research","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); China; Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Population; Socioeconomics; Demography; Archaeology; Outbreak; Virology; Infectious disease (medical specialty); Medicine; Sociology","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":[0.0008306995,0.0004286007,0.0003530793,0.001751557,0.001569148,0.0008511061,0.0005771065,0.0003693607,0.01729129],"category_scores_gemma":[0.00148372,0.0001354479,0.0004186081,0.002157648,0.0003275746,0.0004674287,0.00122177,0.0005893096,0.002877561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009263632,"about_ca_system_score_gemma":0.002549311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04478639,"about_ca_topic_score_gemma":0.05692902,"domain_scores_codex":[0.9993504,0.0001226933,0.0001210017,0.00009668148,0.0001158775,0.0001932932],"domain_scores_gemma":[0.9994363,0.0000482109,0.00018494,0.00005409394,0.000141262,0.0001351676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004842202,0.0001557929,0.769599,0.001082803,0.000214149,0.002581836,0.00225121,0.0007223606,0.002326661,0.006625754,0.08923229,0.1247239],"study_design_scores_gemma":[0.0000216353,0.00009357809,0.8373917,0.0007932631,0.00007387221,0.003546321,0.002353336,0.0004368766,0.0005823152,0.00166859,0.1530106,0.00002793405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835382,0.02276934,0.004047447,0.005958486,0.001599884,0.0006421276,0.09163763,0.0006302485,0.1891766],"genre_scores_gemma":[0.905836,0.007535836,0.00305079,0.002171671,0.0003801927,0.0005232184,0.05335063,0.0001702401,0.02698148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04478639,"threshold_uncertainty_score":0.08905143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3869635941096411,"score_gpt":0.5618589340576092,"score_spread":0.1748953399479681,"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."}}