{"id":"W3147546532","doi":"10.3390/idr13020033","title":"Asymptomatic Cases, the Hidden Challenge in Predicting COVID-19 Caseload Increases","year":2021,"lang":"en","type":"article","venue":"Infectious Disease Reports","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asymptomatic; Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Social distance; Masking (illustration); Pediatrics; Internal medicine; Virology; Disease; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004023863,0.0004089093,0.0005416922,0.001339197,0.0006485923,0.001818904,0.0008919464,0.0006911215,0.0021528],"category_scores_gemma":[0.02989038,0.0003436091,0.0003551006,0.001032889,0.000614872,0.002567766,0.001163609,0.001350008,0.0006269968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019658,"about_ca_system_score_gemma":0.0008386001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276161,"about_ca_topic_score_gemma":0.01941977,"domain_scores_codex":[0.9971849,0.001092293,0.0003275982,0.0005499886,0.0005301979,0.0003150199],"domain_scores_gemma":[0.9885626,0.005178771,0.003234706,0.0009780162,0.001025102,0.00102076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005264421,0.00003317171,0.9819096,0.00008829329,0.00004134133,0.0001573233,0.0003088173,0.0002130172,0.0001764407,0.0008444564,0.004021345,0.01215362],"study_design_scores_gemma":[0.000008625836,0.0001010131,0.9813308,0.0002837587,0.00005177644,0.0008899973,0.001837748,0.003250913,0.0002887872,0.004846359,0.00709315,0.00001710615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430615,0.006448144,0.01162357,0.01243361,0.0005128673,0.0002229942,0.007433555,0.0001588951,0.01810478],"genre_scores_gemma":[0.9931073,0.00113095,0.002108694,0.0006608951,0.0002883995,0.00004111549,0.002157021,0.0000278082,0.0004778621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276161,"threshold_uncertainty_score":0.02537471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295308230779861,"score_gpt":0.3974808728953865,"score_spread":0.2679500498174003,"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."}}