{"id":"W4311807406","doi":"","title":"Identifying population-specific HIV diagnosis gaps in Western Africa and assessing their impact on new infections: a modelling analysis for Côte d'Ivoire, Mali and Senegal","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Cote d ivoire; Human immunodeficiency virus (HIV); Population; Geography; Medicine; Virology; Environmental health; Humanities","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":[],"consensus_categories":[],"category_scores_codex":[0.002729571,0.001160962,0.001671602,0.001197101,0.0009176554,0.0025094,0.00186561,0.00235441,0.003224283],"category_scores_gemma":[0.006113494,0.0009551498,0.002095317,0.001879381,0.001301464,0.001703928,0.001769075,0.001862676,0.0002604632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004481504,"about_ca_system_score_gemma":0.003027534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3581679,"about_ca_topic_score_gemma":0.2997874,"domain_scores_codex":[0.9991253,0.0004606331,0.00002242591,0.00008395715,0.00002001084,0.0002876878],"domain_scores_gemma":[0.9957063,0.003506758,0.0002951719,0.00008267062,0.000157013,0.0002520462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009366103,0.0006082866,0.140409,0.0002869056,0.0008574556,0.001849584,0.00192779,0.8262599,0.0007253062,0.01438061,0.002656308,0.009102263],"study_design_scores_gemma":[0.0002044979,0.000346839,0.08285037,0.0001676742,0.0005549497,0.0002603951,0.005630171,0.9018182,0.0004834817,0.005794876,0.001795034,0.00009354093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947584,0.0006027473,0.001674014,0.001028131,0.00001082644,0.00004489486,0.0007277786,0.00002082732,0.001132416],"genre_scores_gemma":[0.995492,0.0006107689,0.001242812,0.0000631745,0.00001038709,0.00007833521,0.0004768628,0.00002200944,0.002003568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3581679,"threshold_uncertainty_score":0.7121662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610665273597482,"score_gpt":0.2797008681841985,"score_spread":0.2186343408244503,"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."}}