{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01224464,0.001498494,0.001139143,0.005668906,0.007955534,0.00772382,0.005297003,0.00234219,0.00709135],"category_scores_gemma":[0.02742646,0.0005603379,0.001147574,0.004380103,0.00331273,0.003359617,0.003260101,0.004699532,0.001131101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06166498,"about_ca_system_score_gemma":0.1913461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500628,"about_ca_topic_score_gemma":0.9754714,"domain_scores_codex":[0.9929155,0.0025982,0.0005434942,0.0005292022,0.002855076,0.0005584662],"domain_scores_gemma":[0.9796031,0.001597125,0.0004404584,0.000441731,0.01596485,0.001952742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001127319,0.0001733592,0.02112743,0.001046184,0.0001858873,0.0006837664,0.008983571,0.009707476,0.001579134,0.08881783,0.399111,0.4684717],"study_design_scores_gemma":[0.0001077175,0.0001503505,0.03820387,0.002302361,0.0003101626,0.0007149469,0.01674325,0.03216696,0.001115012,0.06922894,0.8383362,0.0006201105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01759122,0.01317632,0.1530373,0.7322814,0.004622344,0.001925269,0.003334901,0.001261006,0.07277026],"genre_scores_gemma":[0.1937699,0.01710431,0.7281727,0.02175852,0.001755266,0.0007223123,0.001710737,0.0002724658,0.03473388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06166498,"threshold_uncertainty_score":0.4474128,"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."}}