{"id":"W2131643522","doi":"","title":"Experiences in validating genomic evaluations","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomic information; Biology; Genomic selection; Statistics; Animal science; Genetics; Mathematics; Genome; Gene","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":[0.06772308,0.0007419378,0.0004292745,0.001710894,0.002068685,0.003046523,0.002805367,0.001219055,0.001391648],"category_scores_gemma":[0.07586537,0.0003026945,0.0005449441,0.002197599,0.002981286,0.001374006,0.002630892,0.001435415,0.0004737384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009677549,"about_ca_system_score_gemma":0.01212541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2862075,"about_ca_topic_score_gemma":0.2971478,"domain_scores_codex":[0.9612685,0.02039642,0.001662853,0.003020395,0.01190917,0.001742562],"domain_scores_gemma":[0.8664621,0.03810677,0.002563635,0.01288357,0.07693449,0.003049455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008068849,0.001115793,0.303822,0.0007032988,0.0003368259,0.002460808,0.03816412,0.02598485,0.03872756,0.01069925,0.009784019,0.5673946],"study_design_scores_gemma":[0.0002816284,0.003554381,0.4387352,0.001910322,0.0008051916,0.003263229,0.04102409,0.03452405,0.146827,0.009788528,0.3187973,0.0004889986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7830564,0.002249757,0.1661394,0.00542249,0.0004302702,0.001359709,0.001913452,0.00100084,0.03842765],"genre_scores_gemma":[0.756485,0.001141053,0.2321355,0.001396346,0.00007148143,0.0002853398,0.002337034,0.0003329924,0.005815158],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2862075,"threshold_uncertainty_score":0.5690831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680982975469967,"score_gpt":0.3129261124796205,"score_spread":0.2861162827249208,"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."}}