{"id":"W2908355668","doi":"10.1371/journal.pone.0210122","title":"Mapping the global potential distributions of two arboviral vectors Aedes aegypti and Ae. albopictus under changing climate","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aedes albopictus; Aedes aegypti; Chikungunya; Dengue fever; Aedes; Outbreak; Climate change; Ecology; Arbovirus; Ecological niche; Biology; Vector (molecular biology); Representative Concentration Pathways; Environmental science; Geography; Climate model; Virology; Habitat","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":[],"category_scores_codex":[0.0001558426,0.0001108138,0.0001335234,0.00001816812,0.0003921864,0.00004227586,0.0001554829,0.00003866391,0.005855505],"category_scores_gemma":[0.00002304349,0.00008730005,0.00004436776,0.0003398951,0.0005904654,0.00009933982,0.0003340512,0.00006327659,0.0002391696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468388,"about_ca_system_score_gemma":0.000004529456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000142433,"about_ca_topic_score_gemma":0.0002145686,"domain_scores_codex":[0.9989178,0.00003444983,0.0001629633,0.000196986,0.0002802383,0.0004075646],"domain_scores_gemma":[0.999627,0.00001521933,0.00007963246,0.0001870987,0.00001812038,0.00007295623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625322,0.002822974,0.642507,0.0001795116,0.0005838678,0.00001504539,0.003106023,0.00003718631,0.2483492,0.0969611,0.001703918,0.003571589],"study_design_scores_gemma":[0.0009637675,0.0001848893,0.9674579,0.0000932953,0.0001691793,0.00001380268,0.004886697,0.001844028,0.02134528,0.001810234,0.0008507385,0.0003801904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896882,0.00006528721,0.0005819329,0.0007987116,0.00008221016,0.0001519011,0.0002821874,0.00004020975,0.008309425],"genre_scores_gemma":[0.9994735,0.00006420802,0.00008602093,0.0001566503,0.00008914877,0.00001097258,0.00004817854,0.000005754484,0.00006562348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3249508,"threshold_uncertainty_score":0.9950533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05080850172882651,"score_gpt":0.2443701734603244,"score_spread":0.1935616717314979,"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."}}