{"id":"W1828621316","doi":"10.1139/gen-2015-0031","title":"Genome-wide association for heifer reproduction and calf performance traits in beef cattle","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada; University of Alberta","funders":"Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency; University of Alberta; Alberta Beef Producers; Manitoba Rural Adaptation Council","keywords":"Biology; Beef cattle; Single-nucleotide polymorphism; Herd; Ice calving; Reproduction; Animal science; Quantitative trait locus; Genome-wide association study; Weaning; Genetic association; Genetics; SNP; Pregnancy; Genotype; Lactation; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007909423,0.0001842169,0.0002687769,0.0006596769,0.0003682265,0.0004757105,0.0003421036,0.0003231612,0.001074506],"category_scores_gemma":[0.0008635239,0.0001155763,0.0003728887,0.0008580969,0.0003048143,0.000113225,0.000255076,0.000350373,0.00007502594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818018,"about_ca_system_score_gemma":0.0003748655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03725455,"about_ca_topic_score_gemma":0.06077987,"domain_scores_codex":[0.9994591,0.0001322255,0.0000300934,0.0001639121,0.0001097974,0.000104726],"domain_scores_gemma":[0.999298,0.0002797337,0.0001837659,0.00004687564,0.00007615013,0.0001154653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004349931,0.00003935397,0.9840179,0.00002744626,0.0005033161,0.0001833878,0.000183817,0.0002343343,0.00981359,0.00005267981,0.00009696271,0.004412255],"study_design_scores_gemma":[0.000003266476,0.00002315255,0.99961,0.000001601718,0.0000412686,0.00004382116,0.00002523681,0.000113228,0.00006616046,0.000009356054,0.00006156879,0.000001320493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999028,0.0004004781,0.000214045,0.00002440458,0.000003508187,0.000001813216,0.0001620384,0.000005504733,0.0001602505],"genre_scores_gemma":[0.9990895,0.0001140368,0.0002722631,0.00002374385,0.000005830902,0.000002766659,0.0002567424,0.000002927056,0.0002321645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03725455,"threshold_uncertainty_score":0.0740754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581485988956217,"score_gpt":0.230002049559923,"score_spread":0.2141871896703609,"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."}}