{"id":"W2958153153","doi":"10.1126/science.aav1002","title":"Ancient cattle genomics, origins, and rapid turnover in the Fertile Crescent","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"Horizon 2020 Framework Programme; Muséum National d'Histoire Naturelle; Natural Environment Research Council; University of Tehran; European Research Council; Science Foundation Ireland; Centre National de la Recherche Scientifique; Irish Centre for High-End Computing; Sight Research UK","keywords":"Zebu; Domestication; Biology; Introgression; Mitochondrial DNA; Ancient DNA; Genome; Evolutionary biology; Indus; Zoology; Genetics; Ecology; Gene; Paleontology; 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":[0.0002944657,0.00005895588,0.00004498571,0.00002115402,0.00005672425,0.00003039275,0.0002996216,0.00002716812,0.00002006845],"category_scores_gemma":[0.00001707354,0.00004048791,0.00001296007,0.0001058786,0.0002304722,0.000003242044,0.00006515941,0.00004857294,0.00002162808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561626,"about_ca_system_score_gemma":0.0001057145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001300997,"about_ca_topic_score_gemma":0.00001811648,"domain_scores_codex":[0.9993454,0.00001676435,0.00007164646,0.0002524067,0.0001257722,0.0001880106],"domain_scores_gemma":[0.9996499,0.000006244391,0.0000198718,0.000264245,0.00002051727,0.00003916262],"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":[0.00003329831,0.0000820249,0.02844671,0.00001309917,0.000003603801,3.36143e-7,0.001526837,0.0004602146,0.95814,0.005574808,0.001519636,0.004199467],"study_design_scores_gemma":[0.0002857142,0.0002009697,0.8105509,0.000005570374,0.000002357491,0.00001023601,0.0002646935,0.00002721618,0.05483546,0.0003309948,0.1333626,0.000123248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961332,0.001408192,0.0001196847,0.00007610869,0.0002289153,0.0001511634,0.000003596165,0.000001879082,0.001877256],"genre_scores_gemma":[0.9980735,0.00005328552,0.001146715,0.0005134242,0.00004539005,0.000004182254,0.000002339463,0.000003094833,0.0001581147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9033045,"threshold_uncertainty_score":0.1651049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007970025467557398,"score_gpt":0.2292886241400139,"score_spread":0.2213185986724565,"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."}}