{"id":"W3135152724","doi":"10.4103/jgid.jgid_447_20","title":"Rigorizing COVID-19 Blind-Spotting for Competent Political Leadership and Public Health Cognizance","year":2021,"lang":"en","type":"article","venue":"Journal of Global Infectious Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Surprise; Public relations; Politics; Political science; Mainstream; Public health; Medicine; Sociology; Law; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1064434,0.001207994,0.001526236,0.001866032,0.008805539,0.02022827,0.003935433,0.02404977,0.01109099],"category_scores_gemma":[0.2516645,0.0009394214,0.001222036,0.001164757,0.02220319,0.01962566,0.01624709,0.05142141,0.005292623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008784974,"about_ca_system_score_gemma":0.04699584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005059264,"about_ca_topic_score_gemma":0.006688244,"domain_scores_codex":[0.8900563,0.06762942,0.006668235,0.004648448,0.02334262,0.00765493],"domain_scores_gemma":[0.7733103,0.1417989,0.009640978,0.00870013,0.0387129,0.02783679],"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":[0.00005753684,0.00005568541,0.0004753875,0.0004359644,0.00002467145,0.0002399152,0.00325534,0.0001340875,0.0003206785,0.05693742,0.9006765,0.03738686],"study_design_scores_gemma":[0.00005741134,0.0000807734,0.0005599259,0.002348626,0.00002561558,0.0003137752,0.008135559,0.0004717136,0.0008387027,0.06298307,0.9240692,0.0001156291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004579686,0.002599125,0.001578329,0.9672668,0.02514653,0.00002898006,0.00002364081,0.00005272577,0.002845956],"genre_scores_gemma":[0.03528075,0.004627822,0.006814563,0.9176499,0.02937607,0.0001740168,0.0001236019,0.0002443843,0.005708861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1064434,"threshold_uncertainty_score":0.5629334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4333384840587057,"score_gpt":0.4814768487468029,"score_spread":0.04813836468809718,"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."}}