{"id":"W4232750050","doi":"10.4141/cjas08078","title":"Effect of dry matter intake on visceral organ mass, cellularity, and the protein expression of ATP synthase, Na<sup>+</sup>/K<sup>+</sup>-ATPase, proliferating cell nuclear antigen and ubiquitin in feedlot steers","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Proliferating cell nuclear antigen; Internal medicine; Dry matter; Endocrinology; ATPase; Pancreas; Feedlot; Biology; Chemistry; Immunohistochemistry; Biochemistry; Animal science; Enzyme; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002525332,0.0005044064,0.0005304165,0.0004818938,0.0002763083,0.0004481611,0.0001686111,0.0002810345,0.0008032941],"category_scores_gemma":[0.0002945603,0.000339615,0.0002670596,0.0002423989,0.0003515336,0.0002202987,0.0002402857,0.0004861827,0.0001824854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942533,"about_ca_system_score_gemma":0.0001770525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033907,"about_ca_topic_score_gemma":0.01022382,"domain_scores_codex":[0.9998133,0.0000337905,0.000015686,0.00005637883,0.00004002959,0.00004078389],"domain_scores_gemma":[0.9994061,0.0001200207,0.0001611424,0.00003545434,0.00005705772,0.000220114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01800689,0.0008342144,0.02887513,0.0001110302,0.0002057321,0.0001530645,0.000213164,0.0002212994,0.9459749,0.00001991524,0.00006887037,0.005315854],"study_design_scores_gemma":[0.000153141,0.01770168,0.8149159,0.00001500037,0.0002911018,0.0002129429,0.0003471467,0.001216743,0.1638115,0.00005495401,0.001241083,0.0000389423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996417,0.000114257,0.00005999859,0.000005606066,0.000001765794,0.000003415884,0.0001014369,0.000003839183,0.00006795088],"genre_scores_gemma":[0.9965168,0.0002176005,0.0006132128,0.00004685748,0.000005535118,0.00002660653,0.0006545704,0.00001493451,0.001903793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004033907,"threshold_uncertainty_score":0.008020818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007910805703404454,"score_gpt":0.2028483068144074,"score_spread":0.1949375011110029,"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."}}