{"id":"W2921923262","doi":"10.1186/s40104-019-0328-7","title":"Pigs receiving daily tailored diets using precision-feeding techniques have different threonine requirements than pigs fed in conventional phase-feeding systems","year":2019,"lang":"en","type":"article","venue":"Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agriculture and Agri-Food Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Swine Innovation Porc","keywords":"Animal science; Threonine; Biology; Biochemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004536049,0.0003947032,0.0009629787,0.001122599,0.0007197399,0.0003238246,0.001594776,0.0006833006,0.0000399358],"category_scores_gemma":[0.0007246634,0.0001913177,0.0001606761,0.002576534,0.003558688,0.001756396,0.0007120575,0.001145746,0.000002172063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003866534,"about_ca_system_score_gemma":0.0002520574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007591231,"about_ca_topic_score_gemma":0.00002292537,"domain_scores_codex":[0.9953615,0.00008247408,0.001440344,0.0007185068,0.001435424,0.0009617523],"domain_scores_gemma":[0.9964755,0.0001722165,0.001715337,0.0001268028,0.001201577,0.0003085537],"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":[0.001124303,0.0002695378,0.01454808,0.00002103385,0.00002032186,0.00004840881,0.0000586262,6.152891e-7,0.9734762,0.001545989,0.00004123267,0.008845706],"study_design_scores_gemma":[0.003750535,0.06067804,0.3864222,0.002122177,0.0001151712,0.005868915,0.01007088,0.003714229,0.5217457,0.002314366,0.002040728,0.001157025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992248,0.0009937715,0.00003053449,0.005902085,0.0003653586,0.0003474355,0.00001096567,0.00004430711,0.00005754645],"genre_scores_gemma":[0.9971668,0.001639699,0.0008316503,0.000123027,0.0002261283,0.000002145981,9.75737e-7,0.00000433574,0.000005263546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4517305,"threshold_uncertainty_score":0.9991531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04153899474118708,"score_gpt":0.2978646281237287,"score_spread":0.2563256333825417,"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."}}