{"id":"W2137775024","doi":"10.1017/s1751731111001212","title":"Genetic diversity and admixture among Canadian, Mountain and Moorland and Nordic pony populations","year":2011,"lang":"en","type":"article","venue":"animal","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Pony; Genetic diversity; Breed; Biology; Moorland; Population; Zoology; Ecology; Geography; Demography; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005807204,0.0002290944,0.0002792328,0.001421498,0.001488757,0.0008063929,0.0003547746,0.0001562907,0.0006550174],"category_scores_gemma":[0.0006567095,0.0001324978,0.0002316427,0.001729416,0.0006231691,0.0001430441,0.0003544882,0.0002127802,0.00005348613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378911,"about_ca_system_score_gemma":0.002382097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8753468,"about_ca_topic_score_gemma":0.9411781,"domain_scores_codex":[0.999603,0.00003886253,0.00001699946,0.0001044351,0.0001186375,0.0001179764],"domain_scores_gemma":[0.999653,0.00003948513,0.00005470107,0.00001650748,0.0001547205,0.0000816651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002815255,0.00003193342,0.9746201,0.00003095137,0.0002437006,0.000348597,0.003498748,0.0003358378,0.004242017,0.0002528121,0.0002905654,0.01582317],"study_design_scores_gemma":[0.000004316153,0.00001934203,0.9988731,0.000005259643,0.00001699781,0.00007837977,0.0004742666,0.00009732276,0.00007450979,0.00001333476,0.0003393749,0.000003782119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993328,0.0001378715,0.0000511728,0.000008746081,7.777304e-7,0.000005267446,0.0001178633,0.000001478599,0.0003439049],"genre_scores_gemma":[0.9986014,0.0001728828,0.0002683481,0.000009506304,0.000001388471,0.000004523319,0.0004460215,0.000001920766,0.0004940762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246532,"threshold_uncertainty_score":0.2507745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220145280124597,"score_gpt":0.2076122621296295,"score_spread":0.1854108093283835,"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."}}