{"id":"W4396524324","doi":"10.1177/00469580241248101","title":"Malaria Prevalence and Macroeconomic Output in Ghana, 1990 to 2019","year":2024,"lang":"en","type":"article","venue":"INQUIRY The Journal of Health Care Organization Provision and Financing","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Endogeneity; Malaria; Ordinary least squares; Instrumental variable; Economics; Proxy (statistics); Estimation; Econometrics; Gross domestic product; Regression analysis; Regression; Variables; Statistics; Mathematics; Medicine; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122026,0.00008223841,0.0001569303,0.0002133152,0.0001237841,0.0001473787,0.0002179144,0.00004410635,0.000003615376],"category_scores_gemma":[0.00008321828,0.00006085476,0.00001061605,0.0002760626,0.00001829113,0.0004170932,0.0001672663,0.0001791149,0.00001055395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598247,"about_ca_system_score_gemma":0.000478689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002457483,"about_ca_topic_score_gemma":0.00001105301,"domain_scores_codex":[0.9990132,0.00007686478,0.0005110784,0.000165131,0.00008081613,0.0001529028],"domain_scores_gemma":[0.9994701,0.00007664867,0.0001569608,0.0001171837,0.00008847956,0.00009064579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000406472,0.00003459462,0.0606727,0.001516987,0.00002131513,0.00004128327,0.1907088,0.0005751404,0.0001909193,0.01699709,0.01515379,0.7140468],"study_design_scores_gemma":[0.001482718,0.001172244,0.9570687,0.002980946,0.00002009646,0.001194731,0.007689411,0.008909785,0.00102238,0.001438245,0.0163516,0.0006691837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8255883,0.01170109,0.1445383,0.01650889,0.001337214,0.0002834599,0.00000168358,0.0000235917,0.00001736156],"genre_scores_gemma":[0.9931875,0.0008458074,0.004094576,0.001750209,0.00005429473,6.76166e-7,5.893995e-7,0.000008465987,0.000057883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.896396,"threshold_uncertainty_score":0.2481585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093433191958366,"score_gpt":0.2523433510658441,"score_spread":0.2414090191462605,"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."}}