{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0153699,0.001738676,0.001313027,0.001707537,0.0008147171,0.003263182,0.002158272,0.001606755,0.002308389],"category_scores_gemma":[0.05300561,0.0009004535,0.001915877,0.0009904555,0.002210183,0.003169023,0.005115755,0.004008793,0.0004910476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097439,"about_ca_system_score_gemma":0.001386585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976681,"about_ca_topic_score_gemma":0.001628197,"domain_scores_codex":[0.9932231,0.004253262,0.0003592427,0.001284512,0.0005659945,0.0003140069],"domain_scores_gemma":[0.9642679,0.0281464,0.002006512,0.003467827,0.001688112,0.0004231456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004745267,0.0001922995,0.02801726,0.0002549276,0.0003831172,0.0002217335,0.0005270172,0.8257887,0.003802856,0.05431909,0.001497978,0.08452045],"study_design_scores_gemma":[0.00006780875,0.0001839843,0.005007523,0.0001097308,0.00006626797,0.0001252292,0.0001952087,0.9525279,0.002343754,0.03619837,0.003083494,0.00009066487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09031916,0.0003433761,0.9050844,0.0006269715,0.00003108721,0.0001328554,0.000370667,0.0005996032,0.00249197],"genre_scores_gemma":[0.7323373,0.0001850626,0.2638114,0.0002683666,0.00005215153,0.0006064145,0.001483335,0.0002179622,0.001038018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0153699,"threshold_uncertainty_score":0.08128482,"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."}}