{"id":"W4388005615","doi":"10.1093/jas/skad341.217","title":"170 Do you Have the Energy to Grind Feed Costs and Maximize Net Income in Demanding Economic Times?","year":2023,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"","keywords":"Energy (signal processing); Net energy; Nutrient; Process (computing); Production (economics); Function (biology); Biology; Environmental economics; Biochemical engineering; Business; Computer science; Animal science; Economics; Mathematics; Microeconomics; Engineering; Statistics; Genetics; 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":[0.002354652,0.0004207079,0.0006471133,0.0006606467,0.001440173,0.004303017,0.0006728288,0.002995004,0.04712743],"category_scores_gemma":[0.01255117,0.0001890451,0.0003817469,0.0006660986,0.003001007,0.00560591,0.0009481211,0.003648954,0.01372448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668818,"about_ca_system_score_gemma":0.001507993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643825,"about_ca_topic_score_gemma":0.004450392,"domain_scores_codex":[0.999189,0.0003223342,0.0000411661,0.0000852608,0.0002222121,0.0001400012],"domain_scores_gemma":[0.9970977,0.0008214935,0.0003918453,0.00009226976,0.0009152618,0.0006813412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004306182,0.0001882359,0.008938991,0.0009987198,0.0000788478,0.0004745088,0.001833566,0.0002243943,0.00135788,0.0614591,0.6324601,0.2915551],"study_design_scores_gemma":[0.00003250381,0.0002156786,0.01253277,0.002105435,0.00003853593,0.001039943,0.009215401,0.0003501808,0.0006735109,0.08161365,0.8920807,0.0001018215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01719547,0.05628116,0.005083831,0.8045589,0.01784589,0.00005158165,0.0004741759,0.0001608839,0.09834812],"genre_scores_gemma":[0.3088006,0.1486146,0.01450659,0.3171732,0.0204055,0.0002048958,0.0007171196,0.0004648393,0.1891126],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04712743,"threshold_uncertainty_score":0.157657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990310179157777,"score_gpt":0.2503454322590818,"score_spread":0.230442330467504,"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."}}