{"id":"W2960537558","doi":"10.3920/978-90-8686-884-1_16","title":"16: The role of nutrient utilisation models in precision animal management","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Nutrient; Stressor; Productivity; Computer science; Biotechnology; Biology; 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":[0.00577294,0.0009947205,0.001237055,0.000740465,0.0005789875,0.003307689,0.002431317,0.002270511,0.004994629],"category_scores_gemma":[0.009613946,0.0006422049,0.001454492,0.001001757,0.001495381,0.003620684,0.001841059,0.001937694,0.002221776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145692,"about_ca_system_score_gemma":0.002977792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009113994,"about_ca_topic_score_gemma":0.005847704,"domain_scores_codex":[0.9981086,0.000967798,0.0001347158,0.0002812577,0.0004357555,0.00007190435],"domain_scores_gemma":[0.9951496,0.002555792,0.000501449,0.0007955051,0.0008267568,0.0001710237],"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":[0.0001252976,0.0001057254,0.002935397,0.0003695605,0.0001807869,0.00009216897,0.0001109584,0.6856424,0.00294206,0.1998188,0.01048854,0.09718826],"study_design_scores_gemma":[0.00002530388,0.0000935938,0.0006916981,0.0002213377,0.00004853601,0.0000551566,0.00003662555,0.7860537,0.001544273,0.1764448,0.03472021,0.00006478405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009758295,0.002412898,0.9569699,0.00329555,0.0006399532,0.0001163388,0.000769762,0.002092136,0.02394516],"genre_scores_gemma":[0.3486501,0.005337053,0.6203668,0.001738537,0.0006477884,0.00068212,0.001486991,0.001539971,0.01955076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009113994,"threshold_uncertainty_score":0.03053057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377009110686748,"score_gpt":0.1924913195260574,"score_spread":0.1787212284191899,"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."}}