{"id":"W2903825632","doi":"10.47611/jsr.v7i1.278","title":"A Virus’ Effect on Growth: HIV’s Effect on African GDP Growth Rates","year":2018,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Per capita; Human immunodeficiency virus (HIV); Population; Demography; Gross domestic product; Globe; Economics; Development economics; Medicine; Demographic economics; Economic growth; Virology; Geography; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00769442,0.0002499608,0.0007399552,0.001744873,0.0003709849,0.0002973261,0.0008471124,0.0001324172,0.0004561777],"category_scores_gemma":[0.002046434,0.0001808375,0.0003227144,0.00081133,0.0002812974,0.0002125861,0.0001277683,0.001022487,0.002879981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381476,"about_ca_system_score_gemma":0.00006214388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000083582,"about_ca_topic_score_gemma":0.00001574932,"domain_scores_codex":[0.9970437,0.0005770396,0.0007630242,0.0003340433,0.0005614279,0.0007207769],"domain_scores_gemma":[0.996221,0.002405775,0.0003905811,0.000328533,0.0003212079,0.0003329059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01537916,0.002910219,0.7485097,0.000327785,0.001534463,0.0008229382,0.007942571,0.00001137053,0.009784624,0.02844096,0.1776031,0.006733115],"study_design_scores_gemma":[0.007920293,0.100603,0.7519622,0.0007128027,0.0000478031,0.0001060236,0.0005203945,0.00007040875,0.08058751,0.006297764,0.05030793,0.0008638388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702489,0.0004474506,0.00002237921,0.00207956,0.0004793249,0.0003582833,0.0000359237,0.00001192875,0.0263162],"genre_scores_gemma":[0.993919,0.0004147259,0.00002815107,0.0001185935,0.001188749,0.00001461564,0.000001104559,0.0000393581,0.004275728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272952,"threshold_uncertainty_score":0.9978964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046172727471437,"score_gpt":0.4005936361604854,"score_spread":0.2959763634133417,"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."}}