{"id":"W4400860338","doi":"10.3168/jds.2023-24618","title":"Magnitude of change in prepartum feed intake: Estimations using multiple classes of predictors and associations with transition metabolism, health, and milk production","year":2024,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Agri-Food Innovation Alliance; Canada First Research Excellence Fund; University of Guelph","keywords":"Ice calving; Animal science; Dry matter; Lactation; Parity (physics); Milk production; Biology; Pregnancy","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":[0.001933684,0.0004757373,0.0005289256,0.0009258448,0.0001880178,0.0005543528,0.0002989199,0.0003797078,0.000432795],"category_scores_gemma":[0.003397024,0.0002304869,0.0004777149,0.0007678875,0.0001879963,0.000331164,0.0003817607,0.0005503364,0.0001857283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557478,"about_ca_system_score_gemma":0.000196805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003401086,"about_ca_topic_score_gemma":0.00438876,"domain_scores_codex":[0.999632,0.0001357116,0.00002946779,0.00009754757,0.00006703841,0.00003823112],"domain_scores_gemma":[0.9976312,0.00146296,0.0005329538,0.0001595069,0.0001135848,0.00009988943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000290357,0.00003452601,0.9912205,0.00001120924,0.0001238984,0.0000164888,0.0000381366,0.0009382807,0.002315968,0.000006005027,0.00001841649,0.00498608],"study_design_scores_gemma":[0.000004026774,0.0001329423,0.992812,0.00000240596,0.00003752613,0.00004965908,0.00005008848,0.006305916,0.0005313429,0.00001701157,0.00005149849,0.000005629733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986205,0.0001179471,0.001057012,0.000007039501,9.879643e-7,0.000003455531,0.000110155,0.00001210958,0.00007084622],"genre_scores_gemma":[0.9979001,0.00005221917,0.001462387,0.000005829918,0.000003486392,0.000009730276,0.000468209,0.000004930575,0.00009319376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003401086,"threshold_uncertainty_score":0.01022637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05736034094868985,"score_gpt":0.3002089932993,"score_spread":0.2428486523506101,"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."}}