{"id":"W2018796499","doi":"10.1017/s1751731112001425","title":"Assessing protein availability of different bioethanol coproducts in dairy cattle","year":2012,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Beef Cattle Research Council; University of Saskatchewan","keywords":"Coproduct; Distillers grains; Nutrient; Rumen; Dry matter; Chemistry; Food science; Dairy cattle; Biofuel; Ruminant; Animal science; Agronomy; Biology; Biotechnology; Mathematics; Pasture; Fermentation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001385483,0.00006946139,0.000135303,0.000008362726,0.00003420177,0.000009042915,0.00007434032,0.00004808889,0.0002037901],"category_scores_gemma":[0.00006657279,0.00002595588,0.00003261834,0.0001347986,0.00008655318,0.0001695357,0.00004179552,0.00006286291,0.00002147909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416629,"about_ca_system_score_gemma":0.000003628106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452703,"about_ca_topic_score_gemma":0.00005584208,"domain_scores_codex":[0.9993541,0.00008648499,0.0001439337,0.0001426775,0.00007119546,0.0002016635],"domain_scores_gemma":[0.9997744,0.00006041898,0.00005368456,0.0000356698,0.00002986288,0.00004599292],"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":[0.00002615612,0.0003077722,0.2120426,0.000008288889,9.248542e-7,1.931953e-7,0.0000280894,1.731592e-8,0.7852756,0.0002876518,0.00005430584,0.001968326],"study_design_scores_gemma":[0.00005925287,0.0001367181,0.763949,0.00001424313,0.000001103644,7.428089e-7,0.0001257288,9.990224e-7,0.2352669,0.0001485277,0.0002454161,0.00005130035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985938,0.0001235467,2.003235e-7,0.0005308386,0.00004239697,0.0001487011,0.000007674438,0.00001432293,0.0005384981],"genre_scores_gemma":[0.9997572,0.000004212573,0.00003095632,0.00002949668,0.0001165511,0.00001218793,0.00001618614,3.920016e-7,0.00003284913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5519065,"threshold_uncertainty_score":0.2231358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467427858280331,"score_gpt":0.282833277735333,"score_spread":0.2281589991525297,"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."}}