{"id":"W1970350300","doi":"10.4141/a99-086","title":"Genetic analysis of ten sheep breeds using microsatellite markers","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Newfoundland and Labrador; Nova Scotia Department of Agriculture","funders":"","keywords":"Microsatellite; Biology; Loss of heterozygosity; Breed; Animal science; Genetic variation; Allele; Veterinary medicine; Genetics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005435701,0.0001935462,0.0003009229,0.0006082713,0.0002683359,0.0003393366,0.000179561,0.0001920068,0.0004373319],"category_scores_gemma":[0.000791573,0.0001603133,0.0001798871,0.0004444272,0.0003511379,0.00009916426,0.0002516199,0.0001820891,0.0001044031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859056,"about_ca_system_score_gemma":0.0002826023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004469169,"about_ca_topic_score_gemma":0.008069687,"domain_scores_codex":[0.9997419,0.00003652851,0.00003321872,0.00007932659,0.00006740255,0.00004160197],"domain_scores_gemma":[0.9993248,0.000232264,0.000125839,0.00004344772,0.0001606341,0.0001130919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008511854,0.0001500325,0.8603919,0.00005694516,0.0001251779,0.0008509702,0.002130468,0.0004835588,0.1204682,0.0001194777,0.00009813264,0.01427388],"study_design_scores_gemma":[0.00003618708,0.0004179516,0.9931166,0.00002393219,0.00005895209,0.0006493994,0.0006349096,0.0008587107,0.003413338,0.00004788645,0.0007293881,0.0000127312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998388,0.000007803979,0.00007254029,0.000001083084,3.223032e-7,0.000001868299,0.00002293813,4.835055e-7,0.00005413529],"genre_scores_gemma":[0.9986004,0.0000255025,0.0005422413,0.000005349505,0.000001337745,0.00001333753,0.0006175626,0.000001324522,0.000192928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004469169,"threshold_uncertainty_score":0.008886278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085207659136333,"score_gpt":0.2340912423585547,"score_spread":0.2232391657671914,"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."}}