{"id":"W2152771290","doi":"10.1017/s1751731114003073","title":"Evaluation of a method estimating real-time individual lysine requirements in two lines of growing–finishing pigs","year":2014,"lang":"en","type":"article","venue":"animal","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Factorial experiment; Protein requirement; Animal science; Body weight; Factorial; Lysine; Weight gain; Mathematics; Biology; Biotechnology; Statistics; Biochemistry; Amino acid","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":[0.003600259,0.000558837,0.000554234,0.0007009098,0.0002001251,0.0007370556,0.0006458413,0.001099423,0.0003000225],"category_scores_gemma":[0.006425079,0.000337649,0.0004205288,0.0003799948,0.0003034348,0.0003652415,0.0003584847,0.0005326663,0.0001857083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003790233,"about_ca_system_score_gemma":0.0004502656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369034,"about_ca_topic_score_gemma":0.001919543,"domain_scores_codex":[0.9979429,0.0006689703,0.00009840023,0.0006582867,0.000556656,0.00007487243],"domain_scores_gemma":[0.9947399,0.002949393,0.0009194195,0.0003802065,0.0009052541,0.0001058874],"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":[0.003988891,0.0005408722,0.06980689,0.0002786674,0.0003448453,0.0001589998,0.0003551648,0.01101864,0.7964591,0.0001790849,0.000139856,0.116729],"study_design_scores_gemma":[0.0004171962,0.008771515,0.1948003,0.00006288715,0.0006648062,0.001130637,0.0003023562,0.2709966,0.5202895,0.0002665738,0.002018369,0.0002794002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799869,0.0006011785,0.21825,0.00004295439,0.00004776961,0.0001576837,0.0002468413,0.0003130686,0.000353626],"genre_scores_gemma":[0.7429839,0.000345981,0.2551246,0.00006710429,0.00002320323,0.0003057307,0.0004272592,0.0000726064,0.0006496679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003600259,"threshold_uncertainty_score":0.01904017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09612442498072207,"score_gpt":0.3718496114505953,"score_spread":0.2757251864698732,"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."}}