{"id":"W1964182206","doi":"10.1016/j.socscimed.2013.03.011","title":"Expert knowledge sourcing for public health surveillance: National tsetse mapping in Uganda","year":2013,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Department for International Development","keywords":"Public health; Public health surveillance; Environmental health; Environmental resource management; Medicine","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":[0.02054181,0.0004681928,0.0006247364,0.005841531,0.002397365,0.004836788,0.0013698,0.001503442,0.003661899],"category_scores_gemma":[0.06403264,0.00034782,0.0003928808,0.00517693,0.001193873,0.003491726,0.005177515,0.0008794034,0.0004054642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003295766,"about_ca_system_score_gemma":0.01138018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932319,"about_ca_topic_score_gemma":0.02354998,"domain_scores_codex":[0.9832652,0.01252436,0.001256478,0.0008222812,0.00145797,0.0006737761],"domain_scores_gemma":[0.939921,0.04548401,0.003621918,0.003398164,0.006207369,0.001367499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005002741,0.0004118593,0.1813628,0.004518897,0.0003759669,0.002782576,0.08360061,0.00717876,0.003281278,0.007079363,0.0133927,0.695515],"study_design_scores_gemma":[0.0002617021,0.0007781731,0.2968101,0.01419731,0.001351211,0.003483524,0.3791436,0.06025124,0.01523048,0.06529494,0.1628363,0.0003614669],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043202,0.008764841,0.02931683,0.02256182,0.0001607723,0.001538361,0.00381958,0.0001850455,0.02933268],"genre_scores_gemma":[0.9702112,0.002328878,0.02461121,0.0006080543,0.00003640297,0.000398779,0.0006519975,0.00001614742,0.001137225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02054181,"threshold_uncertainty_score":0.1086367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124435511803409,"score_gpt":0.424336371040032,"score_spread":0.299900859236623,"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."}}