{"id":"W4407940650","doi":"10.1371/journal.pone.0318730","title":"Ecuadorian Holstein-Friesian cattle paternal lineages: Demographic structure, inbreeding evolution, and genetic diversity","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inbreeding; Biology; Genetic diversity; Breed; Artificial insemination; Population; Effective population size; Dairy cattle; Selection (genetic algorithm); Pedigree chart; Genetics; Demography; Pregnancy; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226062,0.0001543001,0.0001369842,0.0006597759,0.000205534,0.0002856266,0.0001854475,0.00006957052,0.0008331644],"category_scores_gemma":[0.0006160961,0.0000555415,0.00008218528,0.0006733185,0.00008299173,0.0001584835,0.0001620061,0.00006611012,0.00008295518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512996,"about_ca_system_score_gemma":0.0001258254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059203,"about_ca_topic_score_gemma":0.02792188,"domain_scores_codex":[0.9998473,0.00004077991,0.00001344158,0.00004739692,0.00002155753,0.00002949936],"domain_scores_gemma":[0.9997894,0.00002571724,0.0001026763,0.00001462423,0.00004780586,0.00001981121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001105837,0.00004282656,0.9736156,0.00001834038,0.00005300861,0.0002120988,0.00102598,0.0001921175,0.002338193,0.00009392091,0.0001270895,0.02217018],"study_design_scores_gemma":[0.000001908843,0.00001859425,0.9990296,0.000005351845,0.000008860568,0.00006600122,0.0002219329,0.0001264191,0.00007569026,0.00001271401,0.0004316635,0.000001181423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993448,0.0001559211,0.0001037625,0.000009265525,4.799505e-7,0.000002592431,0.0001484626,0.000001107025,0.0002336734],"genre_scores_gemma":[0.9986111,0.0001957312,0.0003347728,0.000006097848,0.000003012359,0.00000801823,0.0004964733,0.000001129163,0.0003436356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059203,"threshold_uncertainty_score":0.04094434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323336629230016,"score_gpt":0.1987770511078453,"score_spread":0.1855436848155451,"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."}}