{"id":"W2104703917","doi":"10.1186/1471-2156-8-74","title":"Whole genome linkage disequilibrium maps in cattle","year":2007,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Cooperative State Research, Education, and Extension Service; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; U.S. Department of Agriculture","keywords":"Linkage disequilibrium; Biology; Bovine genome; Genetics; Brahman; Centimorgan; Disequilibrium; Genetic association; Genome; Beef cattle; Linkage (software); Evolutionary biology; Haplotype; Gene mapping; Breed; Single-nucleotide polymorphism; Allele; Genotype; Gene; Chromosome","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":[0.0002893766,0.0001764931,0.0001347188,0.0000657588,0.00005085943,0.00001731064,0.0002967772,0.0002206312,0.00002516072],"category_scores_gemma":[0.00003740063,0.000195051,0.000070343,0.0001285937,0.0001203282,0.000001722639,0.0001342843,0.0001131706,0.00005961391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867266,"about_ca_system_score_gemma":0.0001221545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067372,"about_ca_topic_score_gemma":0.000326646,"domain_scores_codex":[0.9986833,0.00004978773,0.0002918759,0.0003631691,0.0001496494,0.0004622106],"domain_scores_gemma":[0.9992312,0.00001986184,0.00005663642,0.0004870195,0.00004637011,0.0001589543],"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":[0.000339161,0.000663978,0.2155428,0.0001844681,0.00007872669,0.00001052524,0.001638832,0.01094036,0.7559946,0.005199648,0.003656782,0.005750089],"study_design_scores_gemma":[0.0007382246,0.0002641556,0.7906851,0.000009765054,0.00001553119,0.000008845188,0.0001979682,0.000009523364,0.01393198,0.001555775,0.1922112,0.0003719077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661989,0.002875879,0.02216751,0.0000527205,0.0003299496,0.0002501346,0.00003854297,0.00001658086,0.00806975],"genre_scores_gemma":[0.9548017,0.00008690351,0.03993632,0.000191464,0.0006230503,0.00001001291,0.0002116551,0.00004193574,0.004096945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7420627,"threshold_uncertainty_score":0.7953947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459218033518095,"score_gpt":0.2489475125696254,"score_spread":0.2343553322344444,"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."}}