{"id":"W2102293830","doi":"10.1186/1756-3305-7-350","title":"Multilevel and geo-statistical modeling of malaria risk in children of Burkina Faso","year":2014,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Malaria Research and Control","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Bureau of Educational and Cultural Affairs; U.S. Department of State","keywords":"Malaria; Environmental health; Demography; Odds ratio; Population; Confidence interval; Attendance; Public health; Geography; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003969969,0.0001098467,0.0003794891,0.0001456407,0.00002177173,0.000006089116,0.00006925055,0.00007485918,0.0001085837],"category_scores_gemma":[0.001093347,0.00009170829,0.00004303112,0.00009661231,0.00008403284,0.00003223802,0.00003518712,0.000212331,0.000005453393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481369,"about_ca_system_score_gemma":0.00004246622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120659,"about_ca_topic_score_gemma":0.00005139771,"domain_scores_codex":[0.9989107,0.0001067765,0.0002954724,0.0002018099,0.0002382838,0.0002469466],"domain_scores_gemma":[0.9992192,0.0003028775,0.00007282809,0.0001965553,0.00007072712,0.0001377587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003005646,0.0001162308,0.985151,0.00006381014,0.00007053307,0.000002614411,0.0001091584,0.0004214174,0.00451964,0.003263446,0.00001102443,0.005970544],"study_design_scores_gemma":[0.001451345,0.0001863115,0.7195625,0.00004566261,0.00005127554,0.000006040942,0.00001215975,0.277771,0.0004793041,0.0003726426,0.000005062245,0.00005663358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813407,0.0002194916,0.01752858,0.00008371274,0.00001471398,0.0003156931,0.00004075583,0.00001038212,0.0004459448],"genre_scores_gemma":[0.9975445,0.0000492068,0.002270135,0.00001677148,0.00004497764,0.00001110483,0.00002195299,0.00001267656,0.00002869542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2773496,"threshold_uncertainty_score":0.3739756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009856066877254844,"score_gpt":0.2785556923135752,"score_spread":0.2686996254363204,"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."}}