{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000427512,0.0001421292,0.0002516897,0.00103333,0.0003365983,0.0005067144,0.0002002006,0.000390408,0.001064754],"category_scores_gemma":[0.001007576,0.000178127,0.0002021956,0.0008579669,0.0002010126,0.0005078689,0.0004442745,0.0004214987,0.0004616408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455497,"about_ca_system_score_gemma":0.0001349217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008928073,"about_ca_topic_score_gemma":0.002502102,"domain_scores_codex":[0.9997596,0.00004716165,0.00002162288,0.00008336868,0.00005883625,0.00002942995],"domain_scores_gemma":[0.9995247,0.0001548177,0.0001159616,0.00005891455,0.00007537442,0.00007021931],"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":[0.000943915,0.0001238216,0.2737857,0.0004409856,0.0003242711,0.0004439499,0.002233484,0.002877826,0.6419557,0.002272896,0.000683159,0.07391436],"study_design_scores_gemma":[0.00001925714,0.0001953794,0.9663435,0.00008151469,0.0001044675,0.001121879,0.0005689104,0.00633328,0.00952554,0.0009910036,0.01469314,0.00002211219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949504,0.001435799,0.001421766,0.0001052762,0.000003932249,0.000005767362,0.001300358,0.00001520837,0.0007614052],"genre_scores_gemma":[0.981981,0.001202646,0.006139324,0.0001129989,0.00002150772,0.00001918887,0.009304371,0.00003593326,0.001183051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064754,"threshold_uncertainty_score":0.003561914,"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."}}