{"id":"W2998233739","doi":"10.1371/journal.pntd.0009131","title":"The impact of Neglected Tropical Diseases (NTDs) on health and wellbeing in sub-Saharan Africa (SSA): A case study of Kenya","year":2021,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neglected tropical diseases; Poverty; Sanitation; Economic growth; Empowerment; Socioeconomic status; Development economics; Social determinants of health; Politics; Millennium Development Goals; Political science; Socioeconomics; Population; Public health; Environmental health; Sociology; Health care; Medicine; Economics","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":[0.000004086593,0.0003099543,0.0009020159,0.0001476165,0.0001851681,0.00003282451,0.0001246337,0.00007732053,0.00004159109],"category_scores_gemma":[0.0009306926,0.0001979311,0.000213894,0.0007501261,0.0001674417,0.00005509419,0.00009507119,0.0003455953,0.000002860079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187219,"about_ca_system_score_gemma":0.0006814391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052118,"about_ca_topic_score_gemma":0.0004359282,"domain_scores_codex":[0.9970002,0.0005842516,0.0007855608,0.0004843755,0.0005436532,0.0006020041],"domain_scores_gemma":[0.9976645,0.0005585305,0.0002009021,0.0004646412,0.0002130432,0.0008984008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007837949,0.02118177,0.9434599,0.001041996,0.0007125331,0.005938755,0.0008617972,0.00003114546,0.01332826,0.0001353069,0.001912251,0.003558355],"study_design_scores_gemma":[0.004551725,0.005750267,0.9871907,0.0006481642,0.0002453777,0.0002188714,0.0005603295,0.0003075,0.0001567544,0.0001823259,0.00003644887,0.0001515829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882249,0.00953941,0.000002768074,0.0009409374,0.00004193951,0.0009495454,0.0002027536,0.00006312076,0.00003468198],"genre_scores_gemma":[0.9976964,0.001857623,0.00001587108,0.0002132214,0.0001000001,0.00004002783,0.00003361204,0.00002928801,0.0000139523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04373077,"threshold_uncertainty_score":0.8071397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813098531600026,"score_gpt":0.2968240630311684,"score_spread":0.2786930777151682,"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."}}