{"id":"W4407191095","doi":"10.1186/s13059-025-03490-0","title":"CENP-A/CENP-B uncoupling in the evolutionary reshuffling of centromeres in equids","year":2025,"lang":"en","type":"article","venue":"Genome biology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"German Network for Bioinformatics Infrastructure; Università degli Studi di Pavia; Ministero dell’Istruzione, dell’Università e della Ricerca; Bundesministerium für Bildung und Forschung; University of Galway; Dipartimenti di Eccellenza; National Institute of Food and Agriculture; Deutsche Forschungsgemeinschaft; Università degli Studi di Milano; U.S. Department of Agriculture","keywords":"Biology; Centromere; Evolutionary biology; Human genetics; Genetics; Chromosome; Gene","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":[0.0002440616,0.00006911666,0.0001327244,0.0000333467,0.00006776681,0.000006359075,0.0002589918,0.00008657345,0.0001217714],"category_scores_gemma":[0.00005796349,0.0000252763,0.00004180425,0.0005527741,0.0000630459,0.00001798581,0.00008208391,0.00008892688,0.000005956539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003077946,"about_ca_system_score_gemma":0.00001959285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007626671,"about_ca_topic_score_gemma":0.002002216,"domain_scores_codex":[0.9992209,0.0000981971,0.0002466706,0.0001764921,0.00004694654,0.000210797],"domain_scores_gemma":[0.9996072,0.0002547189,0.0000440195,0.00005383255,0.00002647998,0.00001376386],"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":[0.00003789212,0.0001660563,0.3024048,0.000009283272,0.0000126941,0.000002927135,0.0003541326,0.0002374199,0.6651643,0.01959396,0.00004088276,0.01197567],"study_design_scores_gemma":[0.0001574388,0.00009482413,0.9714801,0.00001586395,0.000003888547,0.000001593958,0.0004388381,0.0001737876,0.000262123,0.01497831,0.01232571,0.00006747918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934902,0.001865701,0.000008983436,0.002870632,0.0001028423,0.0001428492,0.00002904002,0.000007904737,0.001481831],"genre_scores_gemma":[0.9994364,0.0001144392,0.0000986235,0.000157678,0.00007592216,0.00001393597,0.00005490103,2.625597e-7,0.00004787562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6690754,"threshold_uncertainty_score":0.1333311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639691782162674,"score_gpt":0.2451047023354576,"score_spread":0.2287077845138309,"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."}}