{"id":"W2048596365","doi":"10.3168/jds.2007-0585","title":"A Whole-Genome Scan to Map Quantitative Trait Loci for Conformation and Functional Traits in Canadian Holstein Bulls","year":2008,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute of Food and Agricultural Sciences, University of Florida","keywords":"Quantitative trait locus; Linkage disequilibrium; Biology; Family-based QTL mapping; Genetics; Bovine genome; Single-nucleotide polymorphism; SNP; Locus (genetics); Tag SNP; Genome Scan; Genome; Genetic association; Association mapping; Genome-wide association study; Inclusive composite interval mapping; Genotype; Gene mapping; Allele; Gene; Chromosome; Microsatellite","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005613126,0.0002607753,0.000331871,0.001227486,0.0008145704,0.0003712171,0.0004326971,0.0002003301,0.002035359],"category_scores_gemma":[0.0005638185,0.0001379253,0.0003298497,0.00158677,0.0002406833,0.0000933233,0.0002207587,0.0002350229,0.0001304864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254877,"about_ca_system_score_gemma":0.002694559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6933373,"about_ca_topic_score_gemma":0.8335382,"domain_scores_codex":[0.9997399,0.00002243233,0.000007894768,0.00007395665,0.0000904473,0.00006527697],"domain_scores_gemma":[0.9997675,0.00004031735,0.00003006028,0.0000180808,0.00008152224,0.00006261327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001299783,0.000289881,0.6402272,0.0002694972,0.0008133498,0.001163829,0.001752701,0.002566949,0.2606993,0.0009946049,0.001935439,0.08798749],"study_design_scores_gemma":[0.00002176561,0.00008028394,0.9957466,0.00000637799,0.0000788885,0.0001517434,0.0001400168,0.0006654203,0.00146242,0.00003283952,0.001604588,0.000009092917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959677,0.0004203564,0.00131328,0.00004336776,0.000003709383,0.00003178571,0.001512595,0.00002913093,0.0006780424],"genre_scores_gemma":[0.9882241,0.0004413794,0.005912195,0.00006435981,0.000004401913,0.00003010365,0.003295546,0.00001544603,0.002012365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3066627,"threshold_uncertainty_score":0.6169373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280697530625626,"score_gpt":0.2564098174644175,"score_spread":0.2336028421581613,"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."}}