{"id":"W4205157115","doi":"10.3168/jds.2021-20936","title":"Genome-wide association study using haplotype libraries and repeated-measures model to identify candidate genomic regions for stillbirth in Holstein cattle","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Beef Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Beef Cattle Research Council; Alberta Beef Producers; Agriculture and Agri-Food Canada; University of Guelph","keywords":"Haplotype; Candidate gene; Biology; Genome-wide association study; Single-nucleotide polymorphism; Genetics; Dairy cattle; Genetic association; Gene; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005862064,0.0006115778,0.001390521,0.001428091,0.0008495013,0.001058489,0.0009957127,0.0006324912,0.003643618],"category_scores_gemma":[0.005228268,0.000330822,0.002946313,0.001840698,0.0005136413,0.0003849288,0.00067999,0.001101857,0.0002764398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502225,"about_ca_system_score_gemma":0.0008805811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008428777,"about_ca_topic_score_gemma":0.007429329,"domain_scores_codex":[0.9973491,0.001405019,0.000114303,0.0007481488,0.0001399231,0.0002434846],"domain_scores_gemma":[0.9957172,0.003225947,0.0002703237,0.00041037,0.0001681687,0.000207923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004587597,0.0009746481,0.8815368,0.0002268067,0.01417386,0.0020287,0.0004881974,0.02615717,0.01429153,0.002609429,0.001259304,0.05166598],"study_design_scores_gemma":[0.0006285136,0.001414642,0.6108912,0.00004895043,0.005460214,0.0006672632,0.0003581951,0.3736227,0.001803092,0.003283074,0.001737351,0.0000848148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621017,0.0003945647,0.03625885,0.00009995689,0.00003660903,0.0000512486,0.0006833978,0.0001380089,0.0002356723],"genre_scores_gemma":[0.9852505,0.0001347844,0.01166605,0.00004884176,0.00002515424,0.0001215307,0.001876221,0.00003884631,0.0008381003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008428777,"threshold_uncertainty_score":0.03100187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933142811632491,"score_gpt":0.2891898673491025,"score_spread":0.2598584392327775,"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."}}