{"id":"W2040727185","doi":"10.2135/cropsci2000.403597x","title":"Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1941,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Cultivar; Gene–environment interaction; Biology; Yield (engineering); Mega-; Main effect; Agronomy; Biotechnology; Genotype; Statistics; Mathematics; Genetics","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":[0.002931224,0.001062755,0.0008912622,0.003180605,0.0004574903,0.001695998,0.0004343273,0.0003082173,0.003331735],"category_scores_gemma":[0.005989288,0.0002494246,0.0006676268,0.002980569,0.0004424105,0.0005256114,0.0007274425,0.0009122621,0.0005913213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005141378,"about_ca_system_score_gemma":0.0007208745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928267,"about_ca_topic_score_gemma":0.004396993,"domain_scores_codex":[0.9976897,0.001103727,0.0001376886,0.0003493911,0.000530334,0.0001890615],"domain_scores_gemma":[0.9960121,0.001984562,0.0004108116,0.000407006,0.0009783242,0.000207108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00672918,0.001056314,0.1824883,0.0006763397,0.0006755719,0.0008226357,0.002702087,0.02780962,0.115878,0.005799012,0.01252776,0.6428351],"study_design_scores_gemma":[0.0002629092,0.00237188,0.806566,0.0000921402,0.0002160692,0.0005244579,0.001282281,0.1450487,0.0197489,0.002783536,0.0208646,0.0002385715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236273,0.0002953508,0.2568124,0.0001606056,0.0001187584,0.000965811,0.005760659,0.003699387,0.008559603],"genre_scores_gemma":[0.793924,0.0001346957,0.19542,0.00004936407,0.00002420846,0.001141595,0.005289843,0.0008805305,0.003135723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004928267,"threshold_uncertainty_score":0.01550198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459415687948527,"score_gpt":0.2169889030512296,"score_spread":0.1623947461717443,"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."}}