{"id":"W2291626218","doi":"","title":"Genomic Prediction from Whole Genome Sequence in Livestock: The 1000 Bull Genomes Project","year":2014,"lang":"en","type":"preprint","venue":"ORBi (University of Liège)","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Genome; Sequence (biology); Computational biology; Genomics; Computer science; Livestock; Whole genome sequencing; Biology; Genetics; Gene","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":[0.004998138,0.001359545,0.001237112,0.003473338,0.000360865,0.001448591,0.0007942863,0.001051926,0.00508615],"category_scores_gemma":[0.01058539,0.0009218793,0.001266352,0.005880737,0.0002472987,0.001001674,0.001291753,0.0011437,0.00299367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827204,"about_ca_system_score_gemma":0.0009396327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135642,"about_ca_topic_score_gemma":0.01088869,"domain_scores_codex":[0.9983131,0.000695478,0.0001250309,0.0004401446,0.0003447424,0.00008141809],"domain_scores_gemma":[0.997244,0.001402746,0.0003484363,0.0004860667,0.0003760326,0.000142775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002111197,0.0002378664,0.2039471,0.004126013,0.00627928,0.001545248,0.0009220953,0.0471471,0.03267857,0.009107013,0.3167771,0.3751215],"study_design_scores_gemma":[0.001002656,0.0003740538,0.4501243,0.001163788,0.001765706,0.001516421,0.0005865223,0.2060343,0.01924242,0.05202213,0.2658474,0.0003203244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1446183,0.01133571,0.2443653,0.00266808,0.0004164563,0.0001994327,0.5763465,0.01568042,0.004369814],"genre_scores_gemma":[0.1343961,0.003291772,0.1783732,0.0003922695,0.0001673325,0.0003691637,0.6794281,0.001720764,0.001861329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135642,"threshold_uncertainty_score":0.02643299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740642704564122,"score_gpt":0.2165309931387639,"score_spread":0.1991245660931227,"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."}}