{"id":"W4414623598","doi":"10.1079/animalsciencecases.2025.0019","title":"Reducing Feed Efficiency Test Length of Beef Cattle and Sheep to Improve Industry Adoption","year":2025,"lang":"en","type":"article","venue":"Animal Science Cases","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Dalhousie University; Lakeland College","funders":"","keywords":"Residual feed intake; Beef cattle; Feed conversion ratio; Livestock; Herd; Biosecurity; Dry matter; Limiting; Beef industry","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":[0.002439228,0.0001467298,0.0002009693,0.0004840661,0.0002543991,0.0004417361,0.0003577025,0.0002467732,0.0009812952],"category_scores_gemma":[0.002864071,0.00008545196,0.0001752466,0.0003607432,0.0002558703,0.0002606594,0.0003257552,0.0002745549,0.0001795134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006140604,"about_ca_system_score_gemma":0.0003969216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003006969,"about_ca_topic_score_gemma":0.008411009,"domain_scores_codex":[0.9988195,0.0005119402,0.00009784455,0.0001586617,0.0002996785,0.0001123317],"domain_scores_gemma":[0.996819,0.000973417,0.001225189,0.0002072058,0.0004771256,0.000298082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009748461,0.0003474822,0.8860274,0.00009462721,0.000071895,0.0001591473,0.0005134134,0.0005273103,0.04110372,0.0001098355,0.0003384551,0.06973194],"study_design_scores_gemma":[0.000004591637,0.0008350711,0.9933883,0.00001269131,0.00001642427,0.0001047759,0.0001981641,0.0004499311,0.004105827,0.00003682314,0.000843242,0.000004157723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981517,0.0001674499,0.0009550497,0.00004639278,0.000005689061,0.000009546976,0.0001173833,0.00001117659,0.0005355221],"genre_scores_gemma":[0.997554,0.00006452698,0.00175017,0.00003380851,0.00000674753,0.00001851215,0.0001953944,0.000004138362,0.0003726806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003006969,"threshold_uncertainty_score":0.01290005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109525492187575,"score_gpt":0.2674358291992533,"score_spread":0.2564832799804958,"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."}}