{"id":"W2605885121","doi":"10.82308/22752","title":"Predicting malaria in a highly endemic country using clinical and environmental data","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; McGill University Health Centre; International Development Research Centre; McGill University","keywords":"Malaria; Public health; Environmental health; Scale (ratio); Disease burden; Medicine; Geography; Population; 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":[0.001624565,0.0008751666,0.000571637,0.001502482,0.0003320343,0.001187883,0.000568825,0.0007941187,0.00131008],"category_scores_gemma":[0.006311134,0.0004376257,0.0006578699,0.001708563,0.000286649,0.0008601869,0.0008271017,0.000958921,0.000396097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547007,"about_ca_system_score_gemma":0.001306374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04846472,"about_ca_topic_score_gemma":0.0405227,"domain_scores_codex":[0.9993418,0.0003008655,0.00005711306,0.0001506518,0.00006202752,0.00008759887],"domain_scores_gemma":[0.9969175,0.001917162,0.0004398509,0.0001574712,0.000378912,0.0001891582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002793079,0.000267119,0.8528541,0.0001673782,0.0002361401,0.0001560392,0.0001189759,0.1158439,0.0004429847,0.0002917708,0.002891369,0.02645103],"study_design_scores_gemma":[0.00006022021,0.000332412,0.3832204,0.0001412844,0.0001746013,0.0001970079,0.000899633,0.6096036,0.0007001336,0.002049742,0.002576807,0.00004414675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769793,0.001292046,0.008587379,0.002126302,0.00006896231,0.0001211006,0.008300225,0.0002474789,0.002277145],"genre_scores_gemma":[0.9844515,0.0008582865,0.007598318,0.0001631531,0.00004931628,0.00005806186,0.006235105,0.00001093166,0.0005752262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04846472,"threshold_uncertainty_score":0.09636521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847436601846881,"score_gpt":0.3157625892539487,"score_spread":0.2772882232354799,"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."}}