{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823258,0.0001654801,0.0002742521,0.0003586147,0.0003398283,0.0001412952,0.0002270197,0.0000487856,6.585918e-7],"category_scores_gemma":[0.0004883789,0.000101836,0.00001720954,0.0008591841,0.001040842,0.000762274,0.0001086038,0.0002485987,9.63516e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003037362,"about_ca_system_score_gemma":0.0001054196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333513,"about_ca_topic_score_gemma":0.0001750077,"domain_scores_codex":[0.9983602,0.00008075967,0.000416579,0.000307635,0.0005505815,0.0002842898],"domain_scores_gemma":[0.9989082,0.0003053965,0.0003533387,0.00007700977,0.0002203647,0.0001357203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002634056,0.00006350266,0.3140455,0.0000186257,0.000002288549,0.000007793944,0.001636511,0.000004037089,0.6830806,0.0002065188,0.000001544561,0.0006696585],"study_design_scores_gemma":[0.0006341656,0.001371245,0.8815598,0.00005990097,0.000007550885,0.0001418136,0.0002760984,0.0004333767,0.1153098,0.00007807268,0.0000107936,0.0001173592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978709,0.001202178,0.00007908866,0.0005429277,0.00002884016,0.0002210268,0.000007464932,0.000005613309,0.00004195084],"genre_scores_gemma":[0.9968672,0.002566701,0.0004316742,0.00008675431,0.00003503168,0.000001189138,1.500799e-7,0.000008394054,0.000002936446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5677708,"threshold_uncertainty_score":0.4152752,"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."}}