{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003408644,0.00009248235,0.00007161919,0.00004194331,0.0004116478,0.00001675279,0.00005166241,0.0001255982,0.00003961102],"category_scores_gemma":[0.0000104127,0.00009545856,0.00001464736,0.00003395102,0.00009597573,0.000006152282,0.0002350312,0.00005199406,9.924903e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004656187,"about_ca_system_score_gemma":0.00001815627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02570846,"about_ca_topic_score_gemma":0.05627886,"domain_scores_codex":[0.9995207,0.0000197818,0.00006170368,0.0002101448,0.00004892702,0.0001387174],"domain_scores_gemma":[0.9996678,0.000001723451,0.00002533972,0.00009098797,0.00002755312,0.0001866591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002478464,0.000003153573,0.9977515,0.000005759411,0.00001520398,0.000005834104,0.0004234429,0.000001019885,0.0009845356,0.0002012972,0.0002841488,0.0002992682],"study_design_scores_gemma":[0.0002406374,0.0001015629,0.9978004,0.000002377233,0.00003350328,0.00002972944,0.0001229929,0.00003399465,0.0001517641,0.0002478303,0.001117605,0.0001176458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986688,0.0005433907,0.00004140063,0.00004252536,0.00003535165,0.00008276125,0.00004317347,0.000004459161,0.000538159],"genre_scores_gemma":[0.9986751,0.00006908429,0.0008111324,0.0001721525,0.00004322369,8.097919e-7,0.00002830617,0.000005279632,0.0001949129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0305704,"threshold_uncertainty_score":0.9807794,"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."}}