{"id":"W2339818346","doi":"10.1139/cjas-2015-0193","title":"Characterization of the variation in the daily excretion of faecal constituents and digestibility predictions in beef cattle fed feedlot diets using near-infrared spectroscopy","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":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Animal science; Feedlot; Starch; Dry matter; Beef cattle; Organic matter; Feces; Neutral Detergent Fiber; Chemistry; Biology; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004636028,0.00004242632,0.00009117975,0.00003438792,0.0001576967,0.00002480612,0.0001863313,0.000028493,0.00001613002],"category_scores_gemma":[0.0002565465,0.00001409743,0.00002155126,0.0004887643,0.0007159924,0.0002610444,0.0000127957,0.00005650078,1.522964e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007607776,"about_ca_system_score_gemma":0.0002195935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586277,"about_ca_topic_score_gemma":0.004563184,"domain_scores_codex":[0.9993364,0.00009030824,0.0002189207,0.0000934972,0.0001323403,0.0001284891],"domain_scores_gemma":[0.9995218,0.00007413784,0.0001849269,0.00003119931,0.000115228,0.00007271298],"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":[0.0000291289,0.00001672667,0.186673,0.000001231493,4.447614e-7,3.874509e-7,0.0001617308,0.000002533944,0.8127553,0.0001961371,0.000001475377,0.0001619461],"study_design_scores_gemma":[0.0001198501,0.0002617651,0.9889463,0.00006725147,0.000002637581,0.00001163818,0.0000883542,0.00007386046,0.01008359,0.0002992074,0.00001871746,0.00002683423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998597,0.0000118862,0.00002467875,0.001088753,0.00007730597,0.00009765584,0.00004095263,6.784895e-7,0.00006106735],"genre_scores_gemma":[0.9999043,0.000009000224,0.00003095543,0.00002997593,0.0000229305,5.716311e-7,9.008296e-7,2.309702e-7,0.000001118509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8026717,"threshold_uncertainty_score":0.3909695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349829887429792,"score_gpt":0.2374586683236713,"score_spread":0.2139603694493734,"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."}}