{"id":"W4237228574","doi":"10.2196/preprints.26409","title":"Estimation of COVID-19 Period Prevalence and the Undiagnosed Population in Canadian Provinces: Model-Based Analysis (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Demography; Population; Seroprevalence; Estimation; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Disease; Environmental health; Infectious disease (medical specialty); Internal medicine; Immunology","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":[0.004590453,0.0009265927,0.001262002,0.001595119,0.001114578,0.001619885,0.002435484,0.00106857,0.0031723],"category_scores_gemma":[0.007763408,0.000665513,0.002266507,0.001545284,0.0007530191,0.0005262245,0.0009361022,0.001293964,0.0003355084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02341945,"about_ca_system_score_gemma":0.02033293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9666786,"about_ca_topic_score_gemma":0.9176961,"domain_scores_codex":[0.9988689,0.0004587274,0.00004017929,0.0001826234,0.0001298318,0.0003198746],"domain_scores_gemma":[0.996209,0.002242996,0.000338019,0.0001038337,0.000957851,0.0001483116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002221866,0.0001088801,0.07314195,0.000224032,0.0003914819,0.0001526718,0.0001735913,0.9054415,0.000314131,0.006680362,0.004121302,0.009027968],"study_design_scores_gemma":[0.00004886971,0.00005286409,0.02056305,0.00006085821,0.0001674438,0.00004367354,0.0001978148,0.9763784,0.000119458,0.001060276,0.001273117,0.0000341464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8950171,0.003003257,0.06718878,0.002735498,0.0001502776,0.0007578216,0.01773882,0.0006111535,0.01279723],"genre_scores_gemma":[0.9707243,0.0009590274,0.01857021,0.0002361769,0.00003651979,0.0003201791,0.004268317,0.00005010344,0.004835263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03332138,"threshold_uncertainty_score":0.1699209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1629667235405002,"score_gpt":0.4112522333874554,"score_spread":0.2482855098469551,"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."}}