{"id":"W2563774851","doi":"10.1139/cjas-2016-0177","title":"Digestibility and growth performance of feedlot cattle fed pelleted grain screenings","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Alberta Crop Industry Development Fund","keywords":"Feedlot; Feces; Dry matter; Animal science; Pellets; Neutral Detergent Fiber; Starch; Composition (language); Chemistry; Biology; Nutrient; Feed conversion ratio; Food science; Body weight","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002867707,0.000417757,0.0004818497,0.000313412,0.0002453894,0.0004985352,0.0001423671,0.0003013932,0.0005635155],"category_scores_gemma":[0.0004153381,0.0002643066,0.0002087825,0.0002434127,0.0002911382,0.0002478869,0.0001811911,0.0003777262,0.0001810497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006128442,"about_ca_system_score_gemma":0.0002632054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007304358,"about_ca_topic_score_gemma":0.01429254,"domain_scores_codex":[0.9998054,0.0000359876,0.00001036107,0.00004981757,0.00004835673,0.00005001913],"domain_scores_gemma":[0.9995264,0.00007795297,0.0001177188,0.00002440188,0.00006548404,0.0001880482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02019641,0.001610137,0.1419283,0.0000895569,0.0001981056,0.0001700785,0.000354258,0.0004580436,0.8235199,0.00002566152,0.00009654668,0.01135307],"study_design_scores_gemma":[0.0001039897,0.01054522,0.9419917,0.000009767183,0.0001200944,0.0001470258,0.0003115923,0.001013203,0.04540208,0.00002312098,0.0003162882,0.00001586762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998816,0.00002663627,0.00002974436,0.000002443437,6.969727e-7,0.000001273464,0.00002375167,0.000001233078,0.00003248248],"genre_scores_gemma":[0.998876,0.00005340624,0.0001743094,0.00001665385,0.000002778728,0.00000567147,0.0002267614,0.000003668333,0.0006407509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007304358,"threshold_uncertainty_score":0.01452368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066458270961785,"score_gpt":0.214624122929405,"score_spread":0.1939595402197871,"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."}}