{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01052413,0.00100663,0.00131039,0.001899229,0.0004601247,0.001199396,0.001503432,0.0005546593,0.002919143],"category_scores_gemma":[0.02484282,0.0004720544,0.001624818,0.0009481139,0.0007686049,0.001059033,0.001299084,0.001324927,0.0005617884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007263511,"about_ca_system_score_gemma":0.001039762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524913,"about_ca_topic_score_gemma":0.00126531,"domain_scores_codex":[0.9923998,0.005755005,0.0002109933,0.0007398328,0.0007001277,0.0001944212],"domain_scores_gemma":[0.9802549,0.01731875,0.0008654229,0.000866894,0.000470507,0.0002235399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00214197,0.0008567953,0.09960116,0.0006729849,0.004267863,0.0013929,0.0008324556,0.408785,0.05909128,0.09134616,0.002567425,0.328444],"study_design_scores_gemma":[0.00007135807,0.0002543117,0.02514457,0.0000136718,0.0001305927,0.000229851,0.00006090804,0.941951,0.004183852,0.02614995,0.001726323,0.00008362008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09503852,0.0001625182,0.9024909,0.0001140611,0.00001127933,0.0000755968,0.0004211237,0.0006998866,0.0009862127],"genre_scores_gemma":[0.6988746,0.0001230394,0.2954777,0.00009699506,0.0000286102,0.000537394,0.002304115,0.0005686054,0.001988968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01052413,"threshold_uncertainty_score":0.05565757,"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."}}