{"id":"W4386897891","doi":"10.1098/rsos.230316","title":"Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa","year":2023,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Coronavirus disease 2019 (COVID-19); Epidemiology; Pandemic; Transmission (telecommunications); Basic reproduction number; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Estimation; Geography; Developing country; Asymptomatic; Statistics; Medicine; Environmental health; Population; Economic growth; Infectious disease (medical specialty); Mathematics; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008912466,0.0004400042,0.0005072358,0.001094344,0.0002374425,0.0008569023,0.0006747771,0.0005879175,0.000925421],"category_scores_gemma":[0.05935459,0.000475094,0.0007496111,0.0009432548,0.0005895708,0.001162266,0.0008110231,0.0008048924,0.0001789715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839755,"about_ca_system_score_gemma":0.0004778794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008291041,"about_ca_topic_score_gemma":0.003153389,"domain_scores_codex":[0.996493,0.002305396,0.0002119554,0.0005906807,0.0001638801,0.0002350311],"domain_scores_gemma":[0.9744645,0.01846786,0.003835936,0.002296958,0.0007660305,0.0001687546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002869285,0.00004667142,0.9171582,0.00009952031,0.0003259481,0.0003958153,0.00100005,0.05522859,0.002309602,0.002628301,0.0002008558,0.02031944],"study_design_scores_gemma":[0.00004642512,0.0003208519,0.822263,0.0001941903,0.0001894317,0.001447947,0.000793479,0.1661718,0.002268882,0.005030737,0.001207011,0.00006622801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819884,0.0002674662,0.01636304,0.000112282,0.000004486607,0.00006492403,0.0005758149,0.00002270093,0.0006009025],"genre_scores_gemma":[0.9969764,0.0001186375,0.002479458,0.000009508283,0.000002026487,0.00002653374,0.0002872536,0.000003789373,0.00009646073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008912466,"threshold_uncertainty_score":0.04713416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2624407107739379,"score_gpt":0.4673580398501374,"score_spread":0.2049173290761995,"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."}}