{"id":"W6902025159","doi":"10.6084/m9.figshare.11598405.v1","title":"MOESM1 of Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Single-nucleotide polymorphism; Genetic architecture; Genetic association; Genome-wide association study; SNP; Beef cattle; Genome; DNA sequencing; Component (thermodynamics)","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":[0.002180219,0.001363395,0.001267949,0.002513672,0.001315458,0.001265167,0.003187278,0.001274079,0.2848607],"category_scores_gemma":[0.01027573,0.0006136146,0.002634816,0.003753621,0.0004294749,0.0008588883,0.001250152,0.001250807,0.01249125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736696,"about_ca_system_score_gemma":0.001481439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02709225,"about_ca_topic_score_gemma":0.04897291,"domain_scores_codex":[0.9988003,0.0001624484,0.00008805759,0.0005633689,0.0001855936,0.0002001333],"domain_scores_gemma":[0.992434,0.005431787,0.0006862601,0.0005506604,0.0004559648,0.0004413466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00423494,0.0002591013,0.3229507,0.003600643,0.002417157,0.001912147,0.000776763,0.004400083,0.008297634,0.003203089,0.6039451,0.04400266],"study_design_scores_gemma":[0.003317325,0.0006455451,0.8415616,0.001495111,0.002985214,0.002200035,0.0005993824,0.01214715,0.003288469,0.006272097,0.1252337,0.0002543757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03635402,0.0002109822,0.004066291,0.000451736,0.000127169,0.00007406495,0.9560691,0.001048738,0.001597983],"genre_scores_gemma":[0.3178521,0.0004592036,0.02489145,0.001031609,0.0003731405,0.001104392,0.637212,0.002942135,0.01413406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2848607,"threshold_uncertainty_score":0.9529541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055982307603617,"score_gpt":0.2643966427488901,"score_spread":0.2338368196728539,"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."}}