{"id":"W2917275350","doi":"10.1371/journal.pone.0212890","title":"The impact of an insecticide treated bednet campaign on all-cause child mortality: A geospatial impact evaluation from the Democratic Republic of Congo","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Malaria Research and Control","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"UNICEF; World Bank Group; Global Fund to Fight AIDS, Tuberculosis and Malaria","keywords":"Malaria; Environmental health; Geospatial analysis; Geography; Child mortality; Psychological intervention; Demography; Medicine; Socioeconomics; Environmental protection; Population; Cartography; 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":[0.01063329,0.001369477,0.0006813331,0.001365848,0.0005182435,0.0009510887,0.001095043,0.0006770855,0.001770779],"category_scores_gemma":[0.01556563,0.0003840163,0.002799497,0.001937636,0.001070202,0.0008465109,0.001435173,0.0007487818,0.0001196914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005046723,"about_ca_system_score_gemma":0.002861154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.060916,"about_ca_topic_score_gemma":0.0573462,"domain_scores_codex":[0.9847317,0.01278642,0.0002673823,0.0004205524,0.001064807,0.0007290753],"domain_scores_gemma":[0.9873437,0.007531017,0.002848853,0.0006775255,0.001051339,0.0005476385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04199994,0.011146,0.6686398,0.005893296,0.01953571,0.001123547,0.001677567,0.1506941,0.003209249,0.003416092,0.003592807,0.08907188],"study_design_scores_gemma":[0.007222939,0.04278228,0.8959576,0.0007194512,0.009864583,0.0002136517,0.002142516,0.03152119,0.004063554,0.0009657294,0.004397372,0.0001492103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925196,0.000781739,0.0008061122,0.0004203748,0.00001748049,0.0008771003,0.002684757,0.0000206495,0.001872091],"genre_scores_gemma":[0.9967997,0.000417053,0.0009466475,0.00008719732,0.00001326136,0.0004946723,0.00105881,0.000005242917,0.0001772651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.060916,"threshold_uncertainty_score":0.1211229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831646119400284,"score_gpt":0.3513408375704145,"score_spread":0.2681762256303861,"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."}}