{"id":"W3026025223","doi":"","title":"EXERIENCE IN PREVENTING THE CONSEQUENCES OF MALARIA IMPORTATION IN THE METROPOLIS OF MOSCOW, RUSSIA.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malaria; Quarter (Canadian coin); Russian federation; Epidemiology; Geography; Environmental health; Socioeconomics; Medicine; Immunology","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":[0.0004451537,0.0002317337,0.0001250167,0.0004499697,0.0004122716,0.0003893428,0.0002610763,0.0003654014,0.002965241],"category_scores_gemma":[0.000434987,0.0001006641,0.0001626962,0.000142269,0.0002174644,0.000199145,0.0006382455,0.0003247236,0.0003838523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749471,"about_ca_system_score_gemma":0.002207625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008016793,"about_ca_topic_score_gemma":0.0116588,"domain_scores_codex":[0.9998247,0.00008559385,0.00001071845,0.00001374779,0.00002176942,0.00004348342],"domain_scores_gemma":[0.9998724,0.00001467021,0.00002431781,0.000004768158,0.00002411193,0.00005976497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004082851,0.0009343298,0.6323118,0.002259583,0.0001806559,0.002011493,0.002229928,0.002385125,0.009298644,0.009232953,0.02902946,0.3097179],"study_design_scores_gemma":[0.00006259885,0.0006284263,0.9230529,0.0006585408,0.0002277603,0.001486049,0.005039637,0.002181012,0.002934015,0.00186308,0.06184696,0.00001890833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167457,0.02227866,0.003818296,0.01705762,0.0006542284,0.0003174116,0.001300816,0.0002212962,0.03760601],"genre_scores_gemma":[0.9863825,0.005728291,0.00192486,0.0003578713,0.0001122806,0.00005335657,0.0003677727,0.000008099792,0.005064906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008016793,"threshold_uncertainty_score":0.01594025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050969990100114,"score_gpt":0.2873035267663003,"score_spread":0.2567938268652991,"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."}}