{"id":"W2911810918","doi":"10.3168/jds.2018-15353","title":"Estimates of calf starter energy affected by consumption of nutrients. 1. Evaluation of models to predict changing digestion on energy content in calf starters","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"Ministerio de Economía y Competitividad","keywords":"Digestion (alchemy); Hay; Animal science; Nutrient; Starter; Neutral Detergent Fiber; Feces; Forage; Total mixed ration; Biology; Food science; Chemistry; Mathematics; Dry matter; Agronomy; Chromatography; Ice calving; Lactation; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002322057,0.001010144,0.0004988396,0.0005679998,0.0001758653,0.0006176867,0.0007504462,0.0005772479,0.0005114794],"category_scores_gemma":[0.0038712,0.0003414817,0.0008230355,0.0002786583,0.0001522766,0.0003349804,0.0004262656,0.0003316373,0.0001374643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228746,"about_ca_system_score_gemma":0.0004428977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01639437,"about_ca_topic_score_gemma":0.007487211,"domain_scores_codex":[0.9995989,0.000183691,0.00002877875,0.00008449645,0.00006240766,0.00004160494],"domain_scores_gemma":[0.9980652,0.001364185,0.0002899682,0.00007689468,0.0001517245,0.00005209633],"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":[0.001170933,0.0002280188,0.07858099,0.0001692667,0.0004801668,0.00010327,0.00006115065,0.893601,0.01087644,0.000217252,0.0001447732,0.01436682],"study_design_scores_gemma":[0.00006748539,0.0007325138,0.0380999,0.00002009145,0.0001562534,0.00006741026,0.00003229026,0.9549733,0.005357116,0.0002556752,0.000207188,0.00003065042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703506,0.0003545544,0.02817497,0.00003158376,0.000003984215,0.00005697186,0.0004698767,0.0001134895,0.0004439337],"genre_scores_gemma":[0.9925439,0.0001357224,0.006230705,0.00001207571,0.000002395102,0.00006740346,0.0006277959,0.00001464309,0.0003654055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639437,"threshold_uncertainty_score":0.0325979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05083024068261435,"score_gpt":0.2630887482594928,"score_spread":0.2122585075768784,"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."}}