{"id":"W2768088423","doi":"10.3168/jds.2016-12507","title":"Predicting milk protein responses and the requirement of metabolizable protein by lactating dairy cows","year":2017,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; University of California, Davis; Dairy Farmers of Canada; National Institute of Food and Agriculture; University of California; U.S. Department of Agriculture","keywords":"Mathematics; Milk production; Yield (engineering); Dairy cattle; Statistics; Animal science; Biology; Physics; Thermodynamics","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":[0.009566255,0.0008619591,0.001377134,0.001442748,0.0001423991,0.001347921,0.001272968,0.0009155833,0.0004649794],"category_scores_gemma":[0.01247048,0.0005392799,0.003120876,0.001641826,0.0001555943,0.000722534,0.0005350214,0.0005769097,0.0001253216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009210939,"about_ca_system_score_gemma":0.0006584072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009296296,"about_ca_topic_score_gemma":0.00653055,"domain_scores_codex":[0.9976788,0.001773493,0.0001118966,0.0002970757,0.000101834,0.00003694525],"domain_scores_gemma":[0.9946464,0.004491751,0.0004926244,0.0001936839,0.0001308894,0.00004459096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002565956,0.0001658273,0.25912,0.002617243,0.03659399,0.000275502,0.0002748953,0.6270192,0.006169456,0.001278391,0.0007745419,0.063145],"study_design_scores_gemma":[0.0004361485,0.001267843,0.1376524,0.0004440017,0.01684033,0.0003839564,0.0003122542,0.8260225,0.003879333,0.007885141,0.00475692,0.0001191388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627867,0.04232372,0.08927329,0.00107904,0.00003105573,0.00007963985,0.003443087,0.0003001667,0.0006832256],"genre_scores_gemma":[0.968197,0.004392238,0.02519873,0.0002844712,0.00001949419,0.0001214778,0.001534526,0.00002787909,0.0002241921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009566255,"threshold_uncertainty_score":0.05059183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0356747472833515,"score_gpt":0.2793175900189476,"score_spread":0.2436428427355961,"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."}}