{"id":"W2592247440","doi":"10.1098/rsos.160969","title":"The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk","year":2017,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Division of Environmental Biology; Fogarty International Center; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; Directorate for Biological Sciences; U.S. Department of Homeland Security","keywords":"Malaria; Population; Dynamics (music); Ecology; Biology; Environmental health; Medicine; Physics; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005635416,0.0003799845,0.0004085301,0.0002761637,0.0002780204,0.00104541,0.0004791695,0.0006352621,0.0009564538],"category_scores_gemma":[0.003389038,0.000244251,0.0004620848,0.0004135679,0.0007374191,0.001725095,0.0006129225,0.0008523811,0.0001392765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007262674,"about_ca_system_score_gemma":0.0008594021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142919,"about_ca_topic_score_gemma":0.008188521,"domain_scores_codex":[0.999768,0.0001017913,0.00001315019,0.00005968901,0.0000302411,0.0000272142],"domain_scores_gemma":[0.999435,0.0003075541,0.0001684515,0.00002833577,0.00003268517,0.00002799451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005665217,0.00006591468,0.08766677,0.0002240891,0.0001598256,0.0001938544,0.0004330821,0.8310663,0.006589767,0.04745883,0.001160122,0.02492498],"study_design_scores_gemma":[0.00001222909,0.0000777451,0.03487083,0.00006387659,0.00005915714,0.0001531307,0.0003259325,0.9109284,0.001136273,0.04777761,0.004532266,0.0000624784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6259404,0.007514415,0.3486605,0.003869646,0.0002734114,0.00009172455,0.001004765,0.0001121669,0.01253298],"genre_scores_gemma":[0.9882018,0.002629393,0.008043129,0.0001081065,0.00007013322,0.00002949281,0.0001049505,0.00001807616,0.0007949235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142919,"threshold_uncertainty_score":0.02841747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787130973155718,"score_gpt":0.3156068501192333,"score_spread":0.2977355403876761,"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."}}