{"id":"W2760417774","doi":"10.1186/s12936-017-2036-0","title":"Malaria incidence trends and their association with climatic variables in rural Gwanda, Zimbabwe, 2005–2015","year":2017,"lang":"en","type":"article","venue":"Malaria Journal","topic":"Malaria Research and Control","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southern African Science Service Centre for Climate Change and Adaptive Land Management; Inyuvesi Yakwazulu-Natali; International Development Research Centre; UNICEF","keywords":"Malaria; Incidence (geometry); Public health; Population; Environmental health; Demography; Medicine; Geography; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169209,0.0002784257,0.0001452961,0.001036198,0.0002750283,0.0003857417,0.0002364501,0.0001139474,0.001050342],"category_scores_gemma":[0.001236686,0.0001813109,0.0002127303,0.001631543,0.0002178942,0.0003237395,0.0003920139,0.0002504118,0.0001258904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008057826,"about_ca_system_score_gemma":0.000412831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05739582,"about_ca_topic_score_gemma":0.09026376,"domain_scores_codex":[0.999826,0.00003738896,0.00002512491,0.00003004677,0.00002790368,0.0000535499],"domain_scores_gemma":[0.9996069,0.00003978103,0.0002480261,0.00001364345,0.00005924733,0.00003254766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004204033,0.00001010256,0.9955832,0.00005225128,0.00004924481,0.00009940158,0.0005931573,0.0001043275,0.0003557893,0.00004660849,0.0002857325,0.002778025],"study_design_scores_gemma":[0.000001185767,0.00001452559,0.9991843,0.00001384306,0.00001260758,0.00004999002,0.0002876099,0.00007421115,0.00002473834,0.000005996511,0.0003295364,0.000001349198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967015,0.0007070866,0.0000748059,0.00008854479,0.000004028887,0.00001591873,0.002014685,0.000004089149,0.0003892734],"genre_scores_gemma":[0.998117,0.0004691988,0.0001030681,0.00001057331,0.000003671928,0.00002301295,0.001080897,9.727802e-7,0.0001915355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05739582,"threshold_uncertainty_score":0.1141235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118239874790381,"score_gpt":0.2815842162115946,"score_spread":0.2697602287325565,"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."}}