{"id":"W2614245203","doi":"","title":"The Importance of Militaries from Developing Countries in Global Infectious Disease surveillance/Importance Du Personnel Militaire Des Pays En Developpement Dans la Surveillance Mondiale Des Maladies infectieuses/Importancia De Los Militares De Los Paises En Desarollo En la Vigilancia Mundial De Las Enfermedades Infercciosas","year":2007,"lang":"fr","type":"article","venue":"Bulletin of the World Health Organization","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Developing country; Public health; Economic growth; Military personnel; Disease surveillance; Global health; Political science; Medicine; Development economics; Environmental health; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003032177,0.0003861265,0.0001720448,0.001305592,0.001121491,0.002843018,0.0003960787,0.0007522466,0.002668736],"category_scores_gemma":[0.003519567,0.0001598548,0.0002006953,0.001652815,0.001784154,0.001221274,0.002030021,0.0009854964,0.0002255968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516377,"about_ca_system_score_gemma":0.00271242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02653462,"about_ca_topic_score_gemma":0.02862133,"domain_scores_codex":[0.9981217,0.001111896,0.0001104285,0.0001252173,0.0001996758,0.0003311649],"domain_scores_gemma":[0.9966325,0.00152768,0.0007218741,0.0001182707,0.0005742732,0.0004253362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001780179,0.00009410029,0.7459525,0.002147147,0.0001028175,0.002578012,0.03341785,0.00143642,0.003388179,0.01234771,0.005809245,0.192548],"study_design_scores_gemma":[0.0000201703,0.000300827,0.7914298,0.003029042,0.0001190154,0.00357207,0.05127537,0.001135516,0.002132088,0.003037845,0.1439,0.00004829264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.792744,0.06181171,0.00624648,0.04531202,0.0004435414,0.0003179269,0.0007561973,0.00008194658,0.09228641],"genre_scores_gemma":[0.9787001,0.01495096,0.00274308,0.001429954,0.0001474265,0.00006472952,0.0001842733,0.000009956373,0.001769383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02653462,"threshold_uncertainty_score":0.05276036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008448011037925779,"score_gpt":0.2715402249946141,"score_spread":0.2630922139566882,"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."}}