{"id":"W4220809422","doi":"10.3168/jds.2021-21182","title":"Comparison of feed evaluation models on predictions of milk protein yield on Québec commercial dairy farms","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Context (archaeology); Herd; Mathematics; Statistics; Animal science; Biotechnology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003808803,0.001367457,0.0006748617,0.0009256926,0.0006004385,0.001117563,0.0009893713,0.0008313095,0.000869369],"category_scores_gemma":[0.005032985,0.0004237432,0.0007061848,0.0006320631,0.0003880082,0.0004899645,0.0005162742,0.000422195,0.0001350875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01079551,"about_ca_system_score_gemma":0.002922598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7391413,"about_ca_topic_score_gemma":0.5504426,"domain_scores_codex":[0.9992197,0.0003347941,0.00004414251,0.0001457177,0.0001298023,0.0001257597],"domain_scores_gemma":[0.995558,0.002944848,0.0002579475,0.0001201611,0.00100844,0.0001107525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004309677,0.000111805,0.02982619,0.0000592425,0.0001492306,0.00005834896,0.00005553505,0.9563824,0.0005820721,0.0002502346,0.0006325124,0.01146148],"study_design_scores_gemma":[0.0000341754,0.0001123715,0.0200835,0.00002333912,0.00003760367,0.000008444964,0.00004402049,0.9787223,0.0005267051,0.00008784083,0.0002974302,0.00002240213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932085,0.0003072706,0.002702849,0.0001941979,0.00001111636,0.00003820172,0.0007352977,0.0001636804,0.00263902],"genre_scores_gemma":[0.9961385,0.0001229715,0.00191248,0.0000491122,0.000003580522,0.00003476952,0.0008347192,0.00001832227,0.0008854993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2608587,"threshold_uncertainty_score":0.5247899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034567555289181,"score_gpt":0.3211104646009578,"score_spread":0.2176537090720397,"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."}}