{"id":"W4286698524","doi":"10.3389/fanim.2022.855846","title":"Prebiotics and β-Glucan as gut modifier feed additives in modulation of growth performance, protein utilization status and dry matter and lactose digestibility in weanling pigs","year":2022,"lang":"en","type":"article","venue":"Frontiers in Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Weanling; Lactose; Food science; Dry matter; Feed conversion ratio; Meal; Digestion (alchemy); Biology; Soybean meal; Chemistry; Biotechnology; Animal science; Body weight","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002953246,0.0005000603,0.0005146612,0.0004084366,0.0002346216,0.0003613452,0.0003160697,0.0005261415,0.0005880111],"category_scores_gemma":[0.0002122198,0.0001970672,0.0003710057,0.0002466511,0.000393067,0.0003478789,0.0002427952,0.0008735271,0.00009620161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003649773,"about_ca_system_score_gemma":0.0004376858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393937,"about_ca_topic_score_gemma":0.003128545,"domain_scores_codex":[0.9997954,0.00004563191,0.0000167278,0.00005412008,0.00003764667,0.00005050386],"domain_scores_gemma":[0.9997482,0.00004384151,0.00006803491,0.00001318316,0.00002760907,0.00009909656],"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":[0.007471127,0.001334686,0.0007461703,0.0001016366,0.0000368799,0.00006075935,0.00005004792,0.00008428829,0.9863827,0.00003235546,0.00003469265,0.003664543],"study_design_scores_gemma":[0.0005248151,0.06523114,0.04047738,0.00005666368,0.0003706576,0.0001753332,0.0002366275,0.0008450964,0.8891984,0.0001001271,0.002740646,0.00004310388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989532,0.0005447284,0.0001740151,0.00004134766,0.00001612644,0.00002065868,0.00007497855,0.000008346322,0.000166657],"genre_scores_gemma":[0.9944571,0.001049915,0.001766948,0.0001325798,0.00001630945,0.00009196381,0.0002314249,0.00001147156,0.002242267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001393937,"threshold_uncertainty_score":0.002771616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616345469863412,"score_gpt":0.2231751577335906,"score_spread":0.2070117030349565,"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."}}