{"id":"W4411152111","doi":"10.4081/gh.2025.1370","title":"Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa","year":2025,"lang":"en","type":"article","venue":"Geospatial health","topic":"Malaria Research and Control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta","funders":"","keywords":"Malaria; Geography; Transmission (telecommunications); Socioeconomics; Environmental protection; Environmental health; Ecology; Biology; Medicine; Immunology","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":[0.0005351622,0.0003214341,0.0001893471,0.0007290328,0.0005114105,0.0007232812,0.0003118499,0.0001720289,0.001151282],"category_scores_gemma":[0.003147078,0.0001968255,0.0002720278,0.001265799,0.0003740762,0.0007023427,0.0006002497,0.0002685881,0.0001321712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247996,"about_ca_system_score_gemma":0.001091782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0902686,"about_ca_topic_score_gemma":0.1613553,"domain_scores_codex":[0.999506,0.00027093,0.00003567262,0.00003766809,0.00003728425,0.0001124664],"domain_scores_gemma":[0.9994906,0.0001515036,0.0002306713,0.00002174331,0.00005796502,0.00004758378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001721266,0.0001376691,0.9686236,0.0001763716,0.0001676942,0.001534292,0.004854935,0.002177956,0.002136916,0.001085676,0.000792523,0.01814027],"study_design_scores_gemma":[0.00001273876,0.00005286933,0.9848623,0.0001391329,0.00009218781,0.0004066862,0.007348525,0.004601129,0.0002192173,0.0003328623,0.001910261,0.00002204123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980648,0.0003969525,0.0001551244,0.000234432,0.000005415152,0.00002197804,0.0001437386,0.000003963064,0.0009735323],"genre_scores_gemma":[0.9994248,0.0002140316,0.0001573312,0.00001410326,0.000002450507,0.00001285928,0.00006569606,0.000001592785,0.0001070542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0902686,"threshold_uncertainty_score":0.1794864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00737235295624269,"score_gpt":0.2590815205031384,"score_spread":0.2517091675468958,"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."}}