{"id":"W2964277559","doi":"","title":"Canadian genetic for Russian beef cattle breeding","year":2013,"lang":"ru","type":"article","venue":"Животноводство и кормопроизводство","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Beef cattle; Animal breeding; Biology; Animal science; Biotechnology","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":[0.001254944,0.0002904526,0.0001967563,0.0008176612,0.001835614,0.0003696051,0.0005555819,0.000206824,0.01754958],"category_scores_gemma":[0.0005735267,0.0001419007,0.0001686399,0.0007432434,0.00033681,0.0001585621,0.0004870488,0.000610211,0.001235032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004700255,"about_ca_system_score_gemma":0.01250587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7069293,"about_ca_topic_score_gemma":0.8808963,"domain_scores_codex":[0.9996734,0.00006484174,0.00001053597,0.0000501245,0.0001292632,0.00007190179],"domain_scores_gemma":[0.99936,0.00004153816,0.00002352373,0.00004243312,0.0003928554,0.0001396126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001507815,0.00029845,0.04510623,0.0003334642,0.0001512377,0.002276467,0.001892857,0.002259714,0.07943838,0.1111314,0.2440165,0.5115875],"study_design_scores_gemma":[0.0001236219,0.0001009234,0.1139426,0.00009771075,0.00007891402,0.0007383374,0.0004705348,0.001016418,0.00336692,0.001551672,0.878482,0.00003033732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4318961,0.01021584,0.02335454,0.01875446,0.005137303,0.0009102107,0.02168671,0.0008984986,0.4871464],"genre_scores_gemma":[0.491257,0.006875055,0.04984067,0.001264763,0.0004157342,0.0002002703,0.01153028,0.0002803026,0.4383359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2930707,"threshold_uncertainty_score":0.5895932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964192133198286,"score_gpt":0.2204284282716564,"score_spread":0.2107865069396735,"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."}}