{"id":"W2014447771","doi":"10.2527/jas.2006-799","title":"Polymorphisms and haplotypes in the bovine neuropeptide Y, growth hormone receptor, ghrelin, insulin-like growth factor 2, and uncoupling proteins 2 and 3 genes and their associations with measures of growth, performance, feed efficiency, and carcass merit in beef cattle1","year":2007,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Biology; SNP; Ghrelin; Endocrinology; Single-nucleotide polymorphism; Internal medicine; Growth hormone receptor; Haplotype; Neuropeptide Y receptor; Bovine somatotropin; Allele; Genetics; Gene; Receptor; Hormone; Genotype; Growth hormone; Neuropeptide; Medicine","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":[0.0007863198,0.0003887978,0.0003459876,0.0006295671,0.0002852249,0.0002934982,0.0002448262,0.0004308168,0.001424084],"category_scores_gemma":[0.0008102568,0.000212835,0.000341906,0.0004884679,0.000300295,0.0001287575,0.0001991782,0.0003807355,0.0001498583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679548,"about_ca_system_score_gemma":0.000140312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520579,"about_ca_topic_score_gemma":0.005133205,"domain_scores_codex":[0.9995008,0.000181326,0.00004078942,0.0001342479,0.00008050737,0.00006237023],"domain_scores_gemma":[0.9992529,0.0002621181,0.0002505747,0.00004322254,0.00003974063,0.0001514156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004532195,0.0003338733,0.8838018,0.00007771908,0.0008028941,0.001344156,0.0006859689,0.0004852831,0.09953312,0.0001534807,0.0002296981,0.008019884],"study_design_scores_gemma":[0.00003500707,0.0003059666,0.9981503,0.00000703359,0.00007760639,0.0003360551,0.00006020232,0.0003310629,0.0005092986,0.00003299898,0.0001483248,0.000005988763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993518,0.0001504843,0.0002264785,0.00001034813,0.000004305256,0.000004831274,0.0001465723,0.00000232658,0.0001028748],"genre_scores_gemma":[0.998594,0.00009677299,0.0005785619,0.00002377888,0.00001350561,0.00001720769,0.0003341919,0.000006866459,0.0003351319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003520579,"threshold_uncertainty_score":0.007000148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286749749391777,"score_gpt":0.2325538193097447,"score_spread":0.2096863218158269,"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."}}