{"id":"W6892653788","doi":"10.5281/zenodo.10550849","title":"Integrative analyses of genomic and metabolomic data reveal genetic mechanisms associated with carcass merit traits in beef cattle","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Marbled meat; Beef cattle; Candidate gene; Population; Carcass weight; Feedlot; Crossbreed; Breed","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008266116,0.0003511961,0.0004467728,0.001037379,0.0002470545,0.0004563292,0.0002420368,0.0002396409,0.001102726],"category_scores_gemma":[0.0007257226,0.0001431575,0.0007177783,0.001358941,0.0001973756,0.0002223947,0.0004116744,0.0002915623,0.0001045772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476246,"about_ca_system_score_gemma":0.0002011173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002847741,"about_ca_topic_score_gemma":0.004323422,"domain_scores_codex":[0.9995877,0.0001126332,0.00002282341,0.0001525469,0.00007084582,0.00005337879],"domain_scores_gemma":[0.9996403,0.0001490501,0.00009161236,0.00003563606,0.00003575685,0.0000476286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001628521,0.0002052958,0.7113447,0.0001492799,0.002615899,0.0005620832,0.0004829523,0.002170214,0.2287621,0.0001991665,0.0001864997,0.05169339],"study_design_scores_gemma":[0.000009822137,0.0001013522,0.9956252,0.000004826916,0.0002951811,0.0001939415,0.0001152218,0.001604023,0.001677094,0.0001274613,0.0002388792,0.000007011068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965318,0.0004621992,0.002317748,0.00002546836,0.00000257401,0.000004891754,0.0004589426,0.00002258656,0.0001737382],"genre_scores_gemma":[0.9962808,0.0001749291,0.00196772,0.00002685834,0.00000663415,0.00000677007,0.00131813,0.000009949983,0.0002080637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002847741,"threshold_uncertainty_score":0.005662322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347203122323976,"score_gpt":0.2692427084940595,"score_spread":0.2257706772708198,"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."}}