{"id":"W115147778","doi":"10.2527/2001.791133x","title":"Manipulation of cattle growth to target carcass quality.","year":2001,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Marbled meat; Feedlot; Animal science; Breed; Beef cattle; Biology; Lean meat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006830557,0.0006651765,0.0005159997,0.0003718297,0.0002745018,0.0004393424,0.0004473007,0.0003625676,0.002140441],"category_scores_gemma":[0.0008817384,0.0002004791,0.0001998152,0.0002631196,0.0003237629,0.000257974,0.0004466508,0.000676642,0.0003536782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930254,"about_ca_system_score_gemma":0.0004212866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348807,"about_ca_topic_score_gemma":0.004505492,"domain_scores_codex":[0.9992194,0.0002181276,0.00005800348,0.000198156,0.0001838608,0.0001223272],"domain_scores_gemma":[0.9989828,0.0002457315,0.0002744792,0.00009691673,0.000140772,0.0002591863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01543694,0.004367692,0.008507657,0.0002310685,0.0000740921,0.00008934768,0.0002399364,0.0003807812,0.943033,0.0001219384,0.0002621888,0.02725539],"study_design_scores_gemma":[0.003424672,0.1861194,0.2900971,0.000133522,0.0004953501,0.0005977867,0.0005841125,0.004500283,0.5002664,0.0003597794,0.01333468,0.00008684248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962354,0.0004574632,0.001667792,0.00005409891,0.00004215647,0.0002507384,0.0001620096,0.00005601964,0.001074294],"genre_scores_gemma":[0.9793672,0.0006327343,0.008717984,0.0002532981,0.00006076043,0.001690625,0.0007897181,0.00005573776,0.008432054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140441,"threshold_uncertainty_score":0.007160485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745428630921337,"score_gpt":0.3099612586091765,"score_spread":0.2825069722999631,"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."}}