{"id":"W4213361768","doi":"10.3390/agriculture12020277","title":"Effects of Silage-Based Diets and Cattle Efficiency Type on Performance, Profitability, and Predicted CH4 Emission of Backgrounding Steers","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Silage; Beef cattle; Triticale; Profitability index; Forage; Agronomy; Feed conversion ratio; Residual feed intake; Animal science; Mathematics; Environmental science; Agricultural science; Biology; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008940546,0.00009315926,0.0001618838,0.00001258597,0.0001775542,0.000005633625,0.00007874617,0.00004942791,0.00002560499],"category_scores_gemma":[0.00004671065,0.00003318393,0.00002883507,0.0003150527,0.00008331705,0.00003777603,0.00007212315,0.00009970886,2.641295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309815,"about_ca_system_score_gemma":0.000005797809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623229,"about_ca_topic_score_gemma":0.000001784973,"domain_scores_codex":[0.9993243,0.00008484216,0.0001255353,0.0001950719,0.000149626,0.0001206777],"domain_scores_gemma":[0.9995426,0.0002250761,0.00009021044,0.00002847109,0.00006353339,0.00005009177],"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":[0.0001964443,0.0003007428,0.0336411,0.0001727352,0.000004799406,7.614762e-7,0.00008736098,0.00002614936,0.9631714,0.00008493623,0.0004781748,0.001835377],"study_design_scores_gemma":[0.0003107674,0.002722783,0.9127292,0.00006549356,0.00001237755,0.000002876185,0.0002824744,0.0000543443,0.08273201,0.00002467028,0.0009731184,0.00008990478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989156,0.000253174,2.311336e-7,0.0002547022,0.00006847659,0.0002802454,0.00003113612,0.00001694094,0.0001795698],"genre_scores_gemma":[0.9996864,0.00004861402,0.0000105257,0.00004263835,0.00002435184,0.00001639721,0.0001115462,5.470194e-7,0.00005900026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8804394,"threshold_uncertainty_score":0.1365621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008868924147471726,"score_gpt":0.2007404052832894,"score_spread":0.1918714811358176,"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."}}