{"id":"W1989738684","doi":"10.2135/cropsci2006.06.0374","title":"GGE Biplot vs. AMMI Analysis of Genotype‐by‐Environment Data","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1380,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Ammi; Main effect; Gene–environment interaction; Statistics; Genotype; Biology; Biotechnology; Mathematics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01514358,0.00204629,0.002293312,0.005095707,0.0005241615,0.00276854,0.001484038,0.0009477563,0.005688347],"category_scores_gemma":[0.03108613,0.0004463041,0.003463478,0.005737796,0.0009068798,0.001449214,0.001477476,0.002730379,0.001654966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858713,"about_ca_system_score_gemma":0.0007722673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865721,"about_ca_topic_score_gemma":0.001637285,"domain_scores_codex":[0.9759563,0.01752353,0.00106687,0.003336904,0.001716608,0.0003997707],"domain_scores_gemma":[0.9597186,0.02879134,0.003136978,0.005123172,0.00286237,0.0003675114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003622501,0.0006173408,0.169083,0.004974979,0.01407217,0.001679316,0.001047045,0.08686864,0.03608201,0.02583572,0.04004357,0.6160737],"study_design_scores_gemma":[0.0003007891,0.001860206,0.3773356,0.0007662756,0.002066307,0.001300025,0.001113453,0.4646243,0.01816503,0.07557759,0.05639114,0.0004993262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09997313,0.002090641,0.8728569,0.0009570557,0.000469081,0.0003442704,0.01281708,0.00758677,0.002905016],"genre_scores_gemma":[0.5612901,0.0007099307,0.4187314,0.0007775744,0.0001758534,0.0009066226,0.01375317,0.00166752,0.001987777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01514358,"threshold_uncertainty_score":0.08008784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265461119265187,"score_gpt":0.2413511114274741,"score_spread":0.1886965002348222,"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."}}