{"id":"W2179849214","doi":"10.7205/milmed.172.12.1250","title":"Malaria Risk Assessment and Preventive Recommendations: A New Approach for the Canadian Military","year":2007,"lang":"en","type":"article","venue":"Military Medicine","topic":"Malaria Research and Control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Chemoprophylaxis; Malaria; Military medicine; Environmental health; Risk assessment; Malaria prevention; Software deployment; Medicine; Military personnel; Navy; Risk analysis (engineering); Computer security; Political science; Immunology; Population; Engineering; Surgery; Computer science; Law; Health services","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003670877,0.0001824962,0.0003371296,0.0002209252,0.0004517515,0.000004665751,0.0001512619,0.0001058202,0.0008237667],"category_scores_gemma":[0.001012873,0.0001124514,0.00008131355,0.000225797,0.000229473,0.0000790596,0.00003483113,0.0004829676,0.000005075079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002764012,"about_ca_system_score_gemma":0.0008154141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3298676,"about_ca_topic_score_gemma":0.2723948,"domain_scores_codex":[0.998212,0.0001234795,0.0003727305,0.0003761171,0.0003615259,0.0005541842],"domain_scores_gemma":[0.9976596,0.0008246491,0.00003617062,0.000455279,0.0001804965,0.000843762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003113461,0.000406504,0.03262515,0.0004568202,0.001816474,0.0001067889,0.004053515,0.00002992902,0.0005076615,0.007953238,0.5719687,0.3769618],"study_design_scores_gemma":[0.01119733,0.001794554,0.82117,0.000189167,0.0008907166,0.0001033823,0.005456104,0.02019361,0.00001647197,0.002562749,0.1361804,0.0002455538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01371334,0.07914454,0.2581766,0.6068448,0.000868289,0.01315446,0.0003011818,0.0001260013,0.02767081],"genre_scores_gemma":[0.9294034,0.003230874,0.0490983,0.005533761,0.001856279,0.0003272697,0.000710902,0.00004595476,0.00979327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9156901,"threshold_uncertainty_score":0.9019668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407538180506434,"score_gpt":0.3474071292230572,"score_spread":0.3133317474179929,"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."}}