{"id":"W2946159753","doi":"10.2135/cropsci2018.12.0722","title":"Genotype × Environment Interaction of Quality Protein Maize Hybrids under Contrasting Management Conditions in Eastern and Southern Africa","year":2019,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Global Affairs Canada","keywords":"Ammi; Hybrid; Biplot; Biology; Agronomy; Gene–environment interaction; Grain quality; Yield gap; Yield (engineering); Grain yield; Biotechnology; Abiotic component; Agriculture; Genotype; Crop yield; Ecology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003438081,0.0003140248,0.0002721095,0.0004976618,0.0002535317,0.0003023977,0.0001547125,0.0001296041,0.0004581567],"category_scores_gemma":[0.0003295694,0.0001178387,0.0002887352,0.0005496516,0.0002291398,0.0001546834,0.0002876464,0.0002470957,0.00004872857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004460081,"about_ca_system_score_gemma":0.0001741319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003557931,"about_ca_topic_score_gemma":0.007685425,"domain_scores_codex":[0.9997109,0.00007401864,0.00002546838,0.00009896178,0.00004761879,0.00004291374],"domain_scores_gemma":[0.9997017,0.00009603295,0.0001096804,0.00002330203,0.00003306946,0.00003636452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001711925,0.0001662516,0.2156665,0.00008300377,0.0003642857,0.0005537196,0.001454738,0.0005336092,0.7697268,0.0002127425,0.00007140981,0.009455028],"study_design_scores_gemma":[0.00000892356,0.0002945275,0.9894893,0.000002868172,0.00005483794,0.000107989,0.0004043461,0.0005083983,0.008744224,0.00002857381,0.0003445511,0.00001139961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997854,0.00001858017,0.00007328445,0.000002233316,6.754048e-7,0.00000217016,0.00007156551,0.000001897514,0.0000442328],"genre_scores_gemma":[0.9994254,0.00001825568,0.0002658759,0.00000608754,6.520903e-7,0.000006727184,0.000150158,0.000003582801,0.000123287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003557931,"threshold_uncertainty_score":0.007074416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221125348052653,"score_gpt":0.237967561202077,"score_spread":0.1957563077215505,"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."}}