{"id":"W3205188065","doi":"10.1101/2021.10.08.21264741","title":"Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outbreak; Identifiability; Estimation; Confidence interval; Coronavirus disease 2019 (COVID-19); Statistics; Robustness (evolution); Epidemiology; Geography; Mathematics; Medicine; Virology; Infectious disease (medical specialty); Biology; Disease; Engineering; Internal medicine","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":[0.002652281,0.0002118886,0.0003327714,0.001066896,0.0001448263,0.0006359008,0.0005823214,0.0004240254,0.001016114],"category_scores_gemma":[0.02005926,0.0001693691,0.0004681002,0.0004571527,0.000374942,0.0003482687,0.0004769028,0.0003659921,0.0001555985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005950383,"about_ca_system_score_gemma":0.0003183945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385815,"about_ca_topic_score_gemma":0.006354511,"domain_scores_codex":[0.9991542,0.0004609558,0.00004665707,0.0001698908,0.0001135505,0.00005471712],"domain_scores_gemma":[0.9919364,0.005896053,0.00116312,0.0005370773,0.0004108298,0.00005659131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597035,0.00008422329,0.8210744,0.0002250588,0.00029714,0.0004576467,0.0007708367,0.1311072,0.002380635,0.0120322,0.001172899,0.0302381],"study_design_scores_gemma":[0.00003352105,0.0001788302,0.4454806,0.0001720029,0.0001307056,0.001125019,0.001242552,0.5340276,0.003277125,0.009393496,0.004881523,0.00005702928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971143,0.0005068877,0.02422855,0.0005472249,0.00001494021,0.00002697394,0.001471041,0.00008851611,0.001972827],"genre_scores_gemma":[0.9955303,0.00009641751,0.003449678,0.000009875101,0.000005650296,0.00001043585,0.000661361,0.00000785183,0.0002283085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385815,"threshold_uncertainty_score":0.02755493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2271214942756042,"score_gpt":0.4267611229640424,"score_spread":0.1996396286884383,"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."}}