{"id":"W1992098687","doi":"10.4141/cjas09072","title":"Evaluation of NRC (2000) model energy requirement and DMI equation accuracy and precision for wintering beef cows in western Canada","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Animal science; Ice calving; Dry matter; Concordance correlation coefficient; Beef cattle; Mathematics; Accuracy and precision; Conceptus; Standard deviation; Statistics; Pregnancy; Lactation; Biology; Gestation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005186703,0.0004865355,0.0005227672,0.0003744562,0.0007640888,0.001334897,0.001189976,0.000347689,0.0004446514],"category_scores_gemma":[0.007120269,0.000393932,0.0005032008,0.0006299408,0.0002802409,0.000321826,0.0004288048,0.0003885536,0.0001611221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008498958,"about_ca_system_score_gemma":0.005108227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8494782,"about_ca_topic_score_gemma":0.8156381,"domain_scores_codex":[0.9988216,0.0002981441,0.0001017752,0.0003113841,0.0003424578,0.0001246589],"domain_scores_gemma":[0.9966415,0.001033155,0.0003922916,0.0002066663,0.001620326,0.0001060037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00185469,0.0002964395,0.7056066,0.0001175076,0.00064509,0.00009510588,0.0005134338,0.2155845,0.004901087,0.0003924729,0.002574569,0.06741846],"study_design_scores_gemma":[0.0001854736,0.0004167369,0.4241616,0.0000323511,0.0002279427,0.00008750689,0.0002256136,0.5672714,0.005075692,0.0001264885,0.002127878,0.00006133905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943061,0.0001808951,0.003541703,0.00004652438,0.000005570382,0.00004098845,0.000788318,0.0001924348,0.0008974351],"genre_scores_gemma":[0.9931021,0.00006144636,0.004837043,0.00002640659,0.000001704668,0.00002085,0.001518081,0.00003277864,0.0003996743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505218,"threshold_uncertainty_score":0.3028164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06902908845002131,"score_gpt":0.2862531109105738,"score_spread":0.2172240224605525,"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."}}