{"id":"W2564897539","doi":"","title":"Defining a Parameter Space for GMACE","year":2016,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Trait; Statistics; Biology; Residual; Genomic information; Econometrics; Mathematics; Genetics; Computer science; Genome; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001174969,0.0004398831,0.0002911135,0.0001226028,0.000160771,0.00009912185,0.0008341972,0.0002985005,0.009875211],"category_scores_gemma":[0.001382493,0.0003667156,0.0002647948,0.00008553272,0.0001061594,0.000005992267,0.0003052732,0.000130804,0.002359746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074615,"about_ca_system_score_gemma":0.000148925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004655607,"about_ca_topic_score_gemma":0.00002939965,"domain_scores_codex":[0.9968204,0.0002214302,0.0006754514,0.001013171,0.0007413371,0.0005281713],"domain_scores_gemma":[0.9971366,0.0003740537,0.0003638136,0.000638605,0.001301863,0.000185099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002703369,0.0005541542,0.001534216,0.0001094463,0.0008616845,0.000002350283,0.0003518324,0.002590728,0.04177542,0.03549001,0.8747805,0.03924624],"study_design_scores_gemma":[0.003564495,0.0004810488,0.002327802,0.0001552933,0.0001043597,0.00004121389,0.0001553433,0.0003197456,0.01150831,0.002375772,0.9784157,0.0005508649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429546,0.002499766,0.3997336,0.2916017,0.004869084,0.004594755,0.0009533291,0.0002950925,0.05249805],"genre_scores_gemma":[0.8517671,0.00008499892,0.11234,0.01078484,0.001396138,0.001205287,0.0007400665,0.000158841,0.02152271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6088126,"threshold_uncertainty_score":0.9998785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075050914352801,"score_gpt":0.2913009107553594,"score_spread":0.2705504016118314,"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."}}