{"id":"W3092429722","doi":"10.1101/2020.10.07.326983","title":"Evolutionary history of the Galápagos Rail revealed by ancient mitogenomes and modern samples","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"European Commission; Universidad San Francisco de Quito; National Science Foundation","keywords":"Biology; Genetic diversity; Ecology; Habitat; Population; Clade; Evolutionary biology; Phylogenetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001219327,0.0002700439,0.0002703714,0.00003896424,0.00008086845,0.00001843415,0.0004166186,0.0004092005,0.00001755593],"category_scores_gemma":[0.0001373949,0.0002555252,0.00013098,0.00008013978,0.000211617,0.000003940493,0.0007270931,0.0002490883,0.000002003029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031894,"about_ca_system_score_gemma":0.0005414602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002691995,"about_ca_topic_score_gemma":0.000001612814,"domain_scores_codex":[0.998547,0.0001102545,0.0002671338,0.0006134371,0.0002595949,0.0002025423],"domain_scores_gemma":[0.9986298,0.00001255319,0.0002971484,0.0006978684,0.000231048,0.0001315808],"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":[0.00003048951,0.00002353283,0.02193155,0.0001636539,0.00009133061,0.000001163124,0.00002241708,0.00007477283,0.9348525,0.00004113268,0.0427656,0.000001887993],"study_design_scores_gemma":[0.0006615677,0.00007550964,0.418622,0.0001072024,0.00018426,4.776627e-8,0.00000733046,0.0001938533,0.1609674,0.00001309295,0.4184535,0.0007142493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776022,0.01756527,0.0007538042,0.0002443331,0.00261986,0.0003661782,0.0008118497,0.00002604142,0.00001050536],"genre_scores_gemma":[0.9969317,0.0003839533,0.001736125,0.0003191635,0.0005351489,0.00001622592,0.000003790416,0.00003182596,0.00004202234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7738851,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634205767761625,"score_gpt":0.1916922332907743,"score_spread":0.175350175613158,"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."}}