{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001575006,0.0007671553,0.0003922722,0.0005072027,0.0001805995,0.0007537955,0.0006152452,0.0004378773,0.0008326636],"category_scores_gemma":[0.002710107,0.000229429,0.0006234887,0.0004838472,0.000281228,0.0006053036,0.0004984511,0.0006409514,0.000198171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754127,"about_ca_system_score_gemma":0.0004326614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006919818,"about_ca_topic_score_gemma":0.008083523,"domain_scores_codex":[0.999688,0.000125104,0.00001212967,0.0001133089,0.00003200739,0.00002931359],"domain_scores_gemma":[0.9988436,0.0008590715,0.0001204886,0.0000571602,0.00009432935,0.00002533007],"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":[0.00006300105,0.00004046528,0.01207509,0.00001543543,0.00009217732,0.00003311406,0.00002963353,0.9700344,0.001392252,0.001609328,0.0001860366,0.0144291],"study_design_scores_gemma":[0.000002713489,0.00001711351,0.00272293,0.000002889602,0.00001175061,0.000007216687,0.000008001594,0.9949325,0.0003161092,0.001876891,0.00009500603,0.000006814148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5778105,0.0003720174,0.4178236,0.0004248293,0.00003093079,0.00004039426,0.001236834,0.0006403261,0.001620442],"genre_scores_gemma":[0.97265,0.00009632241,0.02604892,0.00003915271,0.000008131704,0.0000355226,0.0005609859,0.00002627631,0.0005347098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006919818,"threshold_uncertainty_score":0.01375908,"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."}}