{"id":"W4412366126","doi":"10.1093/gbe/evaf142","title":"From macro to micro: De novo genomes of Aedes mosquitoes enable comparative genomics among close and distant relatives","year":2025,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genome; Synteny; Comparative genomics; Aedes aegypti; Evolutionary biology; Genetics; Reference genome; Genomics; Yellow fever; Genome evolution; Gene; Ecology; Virus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162816,0.0001344909,0.0003651776,0.0001004147,0.0001168368,0.000009993303,0.00005558648,0.000123354,0.00002619788],"category_scores_gemma":[0.0000297687,0.000113631,0.00004958393,0.000121734,0.0002653171,0.0000392454,0.00007875635,0.00008649272,0.00000303657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009847949,"about_ca_system_score_gemma":0.00009415682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003210196,"about_ca_topic_score_gemma":0.00007164978,"domain_scores_codex":[0.9991361,0.00006833146,0.0002318098,0.0003098243,0.00003127372,0.0002226727],"domain_scores_gemma":[0.9995222,0.00007319409,0.0000740489,0.0001603226,0.00006204693,0.0001081855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00105586,0.00008238982,0.3521083,0.00006699286,0.0002888416,0.00000399632,0.002200566,0.00001285076,0.6377572,0.005289835,0.0001042044,0.001028933],"study_design_scores_gemma":[0.001142703,0.0002796226,0.978727,0.00004997178,0.000226431,0.000003708236,0.001783835,0.0002388093,0.002309806,0.01118048,0.003935231,0.0001224064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734244,0.02377862,0.001335419,0.0003529105,0.00009254316,0.0003578223,0.0001986355,0.00001628008,0.0004434121],"genre_scores_gemma":[0.9978885,0.0005250382,0.0007846796,0.0001327863,0.0001032477,0.00002592027,0.00008860409,0.000005476643,0.0004457303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6354474,"threshold_uncertainty_score":0.4633736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008244722258590409,"score_gpt":0.2789959758456158,"score_spread":0.2707512535870253,"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."}}