{"id":"W2003372336","doi":"10.1371/journal.pone.0055950","title":"Mitochondrial Phylogenomics of Modern and Ancient Equids","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Russian Academy of Sciences; Danmarks Grundforskningsfond; National Research Foundation; Searle Scholars Program; Aalborg Zoos Naturbevaringsfond; University of Arizona; Australian Research Council; Smithsonian Institution; National Science Foundation","keywords":"Biology; Equus; Monophyly; Phylogenetic tree; Subgenus; Phylogenomics; Sister group; Lineage (genetic); Evolutionary biology; Zoology; Coalescent theory; Most recent common ancestor; Phylogenetics; Genus; Hippopotamus; Old World; Ancient DNA; Clade; Genetics; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0001311157,0.0001095979,0.0002555851,0.00007713399,0.00003819665,0.00002265934,0.0002155252,0.00007708148,0.0009115925],"category_scores_gemma":[0.0003108639,0.0000994451,0.00003676379,0.00008769068,0.0001735361,0.0001050653,0.0003694215,0.0001703919,0.0002300653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003875921,"about_ca_system_score_gemma":0.00004213528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006099224,"about_ca_topic_score_gemma":0.000001391839,"domain_scores_codex":[0.9985825,0.00006298703,0.0002445941,0.0002490138,0.0005232546,0.0003376961],"domain_scores_gemma":[0.9991791,0.0001108379,0.00004873061,0.0003333621,0.0001217989,0.0002061382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001981128,0.0007475133,0.0007069474,0.0001717433,0.00007578305,0.00002838717,0.0002336339,3.940571e-7,0.993255,0.00005806574,0.0003162877,0.004208106],"study_design_scores_gemma":[0.02050319,0.0853345,0.1729066,0.002571611,0.0007590632,0.0007175714,0.0007848584,0.2480229,0.4222912,0.03842722,0.003810215,0.003871052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966258,0.0003216644,0.0002086778,0.0003104295,0.00004860024,0.0004517068,0.0000162545,0.00003037839,0.001986428],"genre_scores_gemma":[0.9933981,0.00004389705,0.005729568,0.00007883369,0.0001897791,0.00007313002,0.000005859357,0.00002346474,0.000457416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5709639,"threshold_uncertainty_score":0.9981299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631095926772899,"score_gpt":0.3235429019744746,"score_spread":0.1604333092971846,"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."}}