{"id":"W4390270514","doi":"10.1080/00083968.2023.2286796","title":"Covid and Custom in Rural South Africa: Culture, Healthcare and the State","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of African Studies / Revue canadienne des études africaines","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Coronavirus disease 2019 (COVID-19); Health care; Economic growth; Pandemic; Geography; Healthcare system; 2019-20 coronavirus outbreak; Socioeconomics; Political science; Sociology; Virology; Medicine; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792095,0.0002803495,0.0009612518,0.001163673,0.0005102957,0.000125948,0.0003276595,0.00007707936,0.00001092762],"category_scores_gemma":[0.003070393,0.0002112507,0.0001314053,0.001411504,0.001165904,0.0002026665,0.00006940793,0.0003269512,0.000008197958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321465,"about_ca_system_score_gemma":0.0003449913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01893701,"about_ca_topic_score_gemma":0.3724643,"domain_scores_codex":[0.9977642,0.000117759,0.0008742585,0.000270971,0.00004319165,0.0009296219],"domain_scores_gemma":[0.9973907,0.0004519395,0.0005109094,0.0002183644,0.0001998645,0.001228163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003272351,0.00001739532,0.08904398,0.0004564162,0.0007208266,0.001139647,0.8167883,0.0001725044,0.000007903024,0.08330725,0.004392621,0.003625887],"study_design_scores_gemma":[0.005299566,0.001078425,0.09204056,0.0007055944,0.0001221008,0.0008038371,0.5150772,0.0004514834,0.000003047619,0.109459,0.2736876,0.001271612],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927784,0.06180663,0.00000643071,0.008491652,0.0003165021,0.0002565309,0.0003618732,0.00001475768,0.0009616435],"genre_scores_gemma":[0.9921404,0.005339886,0.00008955425,0.000228377,0.0001356114,0.00001846944,0.000001926638,0.00003184496,0.002013977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3535273,"threshold_uncertainty_score":0.987596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085991001460072,"score_gpt":0.2464493382208629,"score_spread":0.1955894282062622,"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."}}