{"id":"W1586046891","doi":"","title":"GMACE without variance estimation","year":2014,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Variance (accounting); Consistency (knowledge bases); Estimation; Biology; Computer science; Econometrics; Statistics; Mathematics; Business; Economics; Artificial intelligence","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":[0.001595938,0.0004567681,0.0003045332,0.0001236191,0.000196006,0.0001527434,0.0009427522,0.000302185,0.01019062],"category_scores_gemma":[0.0008320772,0.0004821221,0.000167722,0.0001264248,0.0001013764,0.000007375132,0.0003147072,0.0002581159,0.003813337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009104668,"about_ca_system_score_gemma":0.000115298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001104291,"about_ca_topic_score_gemma":0.00003375502,"domain_scores_codex":[0.9963654,0.0004345726,0.0007371784,0.0009851033,0.001033749,0.0004440543],"domain_scores_gemma":[0.9973658,0.00009943662,0.0004170669,0.0007650387,0.001158924,0.0001937187],"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":[0.002102436,0.001230066,0.003576911,0.0002313298,0.0009738656,0.000002797278,0.0008611936,0.2062853,0.02482464,0.03745768,0.6556209,0.06683287],"study_design_scores_gemma":[0.002399032,0.0003650584,0.008583396,0.0001092401,0.0001068679,0.00005830215,0.0001124585,0.02156162,0.003244646,0.002122449,0.9607218,0.0006151343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798014,0.0006880859,0.5700708,0.08183867,0.003975952,0.002272336,0.0001258686,0.0002951601,0.1609317],"genre_scores_gemma":[0.8961155,0.00002821782,0.08242587,0.009871962,0.001311581,0.0002978774,0.0009933586,0.00009394302,0.008861666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7163141,"threshold_uncertainty_score":0.9997631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526372060673445,"score_gpt":0.2816007545946184,"score_spread":0.2663370339878839,"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."}}