{"id":"W2030709727","doi":"10.2135/cropsci2002.1434","title":"Likelihood‐Based Analysis of Genotype–Environment Interactions","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Restricted maximum likelihood; Biology; Covariance; Gene–environment interaction; Statistics; Mixed model; Genotype; Multivariate statistics; Multivariate analysis; Analysis of covariance; Trait; Score test; Maximum likelihood; Genetics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001484547,0.0000470401,0.00007960769,0.00004180246,0.0001740468,0.00003632055,0.0002414621,0.00001361641,0.002466968],"category_scores_gemma":[0.00001535589,0.00001833835,0.00005920467,0.001067863,0.0001457853,0.000050741,0.00003886572,0.00003426011,0.00004990395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411666,"about_ca_system_score_gemma":0.000002776178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008052661,"about_ca_topic_score_gemma":0.0001325969,"domain_scores_codex":[0.9993449,0.000008364144,0.000104811,0.0001757885,0.0002083477,0.0001577668],"domain_scores_gemma":[0.9997501,0.00004826419,0.00005300276,0.00005009149,0.00002878313,0.00006972153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00000112825,0.00004656649,0.01021061,6.181414e-7,0.00001070898,5.285227e-7,0.00005130814,0.0006469643,0.9427773,0.00003104233,0.00008659069,0.04613658],"study_design_scores_gemma":[0.00004802683,0.0001281461,0.8548232,0.00000703696,0.000126083,0.000001329691,0.0001067565,0.08704914,0.03782648,0.00005082739,0.01966478,0.0001682074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99657,0.00005821606,0.00004499987,0.0003357152,0.00006020231,0.00003158848,0.00002194925,0.000008158945,0.00286916],"genre_scores_gemma":[0.9994724,0.00001859429,0.0002839469,0.00006946222,0.00002191687,0.000001323049,0.000004871084,1.508179e-7,0.0001273256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9049509,"threshold_uncertainty_score":0.9984449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137858851162405,"score_gpt":0.2144587611414883,"score_spread":0.1730801726298643,"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."}}