{"id":"W2803005512","doi":"10.1017/s1751731118000666","title":"Development of equations, based on milk intake, to predict starter feed intake of preweaned dairy calves","year":2018,"lang":"en","type":"review","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Starter; Crossbreed; Animal science; Breed; Biology; Medicine; Food science","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":[0.006716777,0.001172132,0.001844873,0.002046091,0.0001456826,0.001078239,0.001248146,0.0007697454,0.000797442],"category_scores_gemma":[0.009697695,0.0008792187,0.003674448,0.00145356,0.0001409035,0.0006397432,0.000572352,0.0007850541,0.0002598324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009591811,"about_ca_system_score_gemma":0.001784998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417735,"about_ca_topic_score_gemma":0.01179942,"domain_scores_codex":[0.998209,0.0009159306,0.0002405558,0.0003158583,0.0002617579,0.000056831],"domain_scores_gemma":[0.9949437,0.003816319,0.0006133689,0.0001072305,0.0004698478,0.00004968139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00223926,0.0005572897,0.3496119,0.005211056,0.02955403,0.0003020335,0.0003175704,0.2442178,0.009495221,0.001984919,0.002949829,0.3535591],"study_design_scores_gemma":[0.0007771787,0.002248575,0.2203689,0.001082534,0.01709684,0.0004029586,0.0001784799,0.7367882,0.007283834,0.002725945,0.01086967,0.0001767903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5041963,0.0532945,0.4314933,0.0006333834,0.0001885448,0.0007195257,0.006649732,0.001153569,0.001671047],"genre_scores_gemma":[0.772261,0.01227591,0.2068095,0.0002431451,0.00005945585,0.001127443,0.005192146,0.000114222,0.001917235],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01417735,"threshold_uncertainty_score":0.0355221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0787255218416673,"score_gpt":0.2980255804817226,"score_spread":0.2193000586400553,"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."}}