{"id":"W2902547371","doi":"","title":"Meta-analysis of GWAS of bovine stature with >50,000 animals imputed to whole-genome sequence","year":2015,"lang":"en","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Computational biology; Genome; Whole genome sequencing; Sequence (biology); Biology; Genetics; Computer science; Gene; Single-nucleotide polymorphism; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01013718,0.001995222,0.004515621,0.002899236,0.0009432534,0.001874961,0.001300915,0.001327987,0.002508211],"category_scores_gemma":[0.01089974,0.001130678,0.01368364,0.006750915,0.0003720314,0.0008006082,0.001323448,0.001771476,0.0002699152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841157,"about_ca_system_score_gemma":0.0005907807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004949611,"about_ca_topic_score_gemma":0.007464041,"domain_scores_codex":[0.9936359,0.00343171,0.0005846022,0.001575284,0.0004368965,0.0003357192],"domain_scores_gemma":[0.9921404,0.005137727,0.0005569283,0.001659127,0.0003192233,0.000186654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.009945619,0.0001131399,0.3323572,0.003039294,0.6226327,0.001021961,0.0002043166,0.006135618,0.006217299,0.000611048,0.002150288,0.01557153],"study_design_scores_gemma":[0.001119636,0.001005658,0.4050866,0.0005570298,0.5648371,0.0009924332,0.0002200472,0.01732043,0.002479697,0.002072617,0.004229659,0.0000791159],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011983,0.1391263,0.04359776,0.001186514,0.0007579015,0.0001557184,0.01187712,0.0008319056,0.001268447],"genre_scores_gemma":[0.9806095,0.006527092,0.007142366,0.0002469911,0.0001167997,0.000178489,0.004533896,0.0001353015,0.0005097099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013718,"threshold_uncertainty_score":0.05361122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07101451832842764,"score_gpt":0.2928062913346895,"score_spread":0.2217917730062618,"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."}}