{"id":"W3210629674","doi":"10.1186/s13071-021-05051-3","title":"Updated distribution maps of predominant Culex mosquitoes across the Americas","year":2021,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; Washington State University; U.S. Department of Energy","keywords":"Culex; Culex quinquefasciatus; Ecology; Range (aeronautics); Biology; Geography; Distribution (mathematics); Mosquito control; Environmental niche modelling; Species distribution; Entomology; Ecological niche; Habitat; Malaria; Aedes aegypti","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001472691,0.0001297543,0.0001628913,0.000004639609,0.0001989746,0.00004209464,0.0002134872,0.00005022598,0.02515599],"category_scores_gemma":[0.00009694431,0.00009180559,0.0001005285,0.0005103221,0.0003820414,0.00008676039,0.0001998577,0.00008810959,0.0009796484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361649,"about_ca_system_score_gemma":0.000009616409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003777283,"about_ca_topic_score_gemma":0.0002852716,"domain_scores_codex":[0.9988533,0.00007523492,0.0002185974,0.0002526725,0.0002763084,0.0003239267],"domain_scores_gemma":[0.9993981,0.00006028181,0.0001196524,0.0003249921,0.00002736632,0.00006966938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005810695,0.0004068574,0.7843782,0.00001781915,0.00005738358,0.00002820315,0.001332499,0.000219592,0.09035008,0.001021856,0.1182921,0.003837403],"study_design_scores_gemma":[0.0002037275,0.00003749137,0.7573124,0.00000682478,0.00002421432,0.00001669601,0.00274042,0.00009818713,0.08438139,0.00005172722,0.1549744,0.0001524954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949082,0.000139286,0.0001044129,0.0004523359,0.0001529494,0.0001141523,0.001152577,0.00003712394,0.002938969],"genre_scores_gemma":[0.9974563,0.0000925924,0.00001521716,0.00009696386,0.00002273579,0.00001743646,0.001825697,0.000008384797,0.0004646331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03668234,"threshold_uncertainty_score":0.9997982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684333537331182,"score_gpt":0.2843807781899869,"score_spread":0.267537442816675,"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."}}