{"id":"W6958760805","doi":"10.6084/m9.figshare.26731018.v1","title":"Additional file 1 of Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Risk assessment; Impact assessment; Transmission (telecommunications); Quantitative assessment; Economic impact analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002418726,0.000843237,0.0008116249,0.001951423,0.0005860369,0.00115674,0.001400513,0.001032335,0.7746664],"category_scores_gemma":[0.03719796,0.0004808068,0.001003356,0.00369373,0.0001966756,0.001256136,0.0009153752,0.0008703678,0.05685559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560525,"about_ca_system_score_gemma":0.001914004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072087,"about_ca_topic_score_gemma":0.02509107,"domain_scores_codex":[0.9990023,0.0004152473,0.0001644541,0.000163573,0.0001460445,0.0001084045],"domain_scores_gemma":[0.9753805,0.0209581,0.001294253,0.0007966701,0.001249401,0.0003210448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003193752,0.00008584111,0.006704976,0.0034582,0.000132281,0.00008596474,0.0001417204,0.001994811,0.00004702189,0.002216281,0.9723588,0.01245481],"study_design_scores_gemma":[0.009305258,0.0007361641,0.1023935,0.01231502,0.0009664294,0.00111318,0.001402499,0.01455292,0.0007163309,0.02861316,0.8276242,0.0002612935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002970472,0.00001786698,0.0002806246,0.00009282434,0.00001320146,0.0000726923,0.998239,0.00009973263,0.0008870374],"genre_scores_gemma":[0.04270085,0.0003641246,0.01119565,0.0006404954,0.0001031811,0.004848605,0.9273582,0.0007944638,0.01199446],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7746664,"threshold_uncertainty_score":0.321411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.299203123886055,"score_gpt":0.4508159137169355,"score_spread":0.1516127898308804,"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."}}