{"id":"W4417015466","doi":"10.5376/mgg.2025.16.0028","title":"Multi-Environment Genomic Prediction Models for Hybrid Maize Performance","year":2025,"lang":"","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictive modelling; Genomic selection; Selection (genetic algorithm); Heritability; Stability (learning theory); Hybrid system; Multiple Models; Simulation modeling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003467117,0.0006555017,0.0004952289,0.0001165438,0.0005346008,0.0001309049,0.0004945316,0.0004731292,0.00002310679],"category_scores_gemma":[0.00001446546,0.0007591491,0.0002265484,0.00007067695,0.0003912325,0.000008575365,0.0005838757,0.0002421158,0.00001111328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257514,"about_ca_system_score_gemma":0.0003743605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005536601,"about_ca_topic_score_gemma":0.000005149891,"domain_scores_codex":[0.9968198,0.00007239309,0.0008487233,0.001276986,0.0001573848,0.000824691],"domain_scores_gemma":[0.9984562,0.00003641131,0.000235801,0.000908234,0.0001057377,0.000257658],"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":[0.001759021,0.001130181,0.008290054,0.001523227,0.001700216,0.000001655673,0.0008122992,0.5494413,0.2164168,0.003803347,0.004675487,0.2104464],"study_design_scores_gemma":[0.01105221,0.003412558,0.08051673,0.0001675849,0.001415303,0.00005681947,0.0004412729,0.4416983,0.04934978,0.01492693,0.3947117,0.002250806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6355075,0.02461213,0.335644,0.0001884385,0.001049638,0.001426691,0.00086197,0.00001330244,0.0006963213],"genre_scores_gemma":[0.8092924,0.02755134,0.156415,0.0004639284,0.0005152998,0.000163957,0.0002941729,0.00008951446,0.005214352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3900362,"threshold_uncertainty_score":0.999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143284576113043,"score_gpt":0.2093222513089154,"score_spread":0.1978894055477849,"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."}}