{"id":"W2260562977","doi":"10.2135/cropsci2015.06.0336","title":"Analysis and Handling of G × E in a Practical Breeding Program","year":2015,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Biology; Avena; Genotype; Stability (learning theory); Gene–environment interaction; Crop; Biological system; Biotechnology; Statistics; Agronomy; Mathematics; Computer science; Genetics; Machine learning","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":[0.01087933,0.001058168,0.001242746,0.00228436,0.0006469052,0.001263689,0.001286584,0.0005553651,0.006082882],"category_scores_gemma":[0.03051407,0.0004014343,0.001232503,0.003334737,0.0006575277,0.001069803,0.001184495,0.001459557,0.001435676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005711387,"about_ca_system_score_gemma":0.001063122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064119,"about_ca_topic_score_gemma":0.002774441,"domain_scores_codex":[0.9877039,0.007942685,0.0006614061,0.001806876,0.001571222,0.0003140095],"domain_scores_gemma":[0.9594042,0.03197328,0.002236601,0.003875478,0.002046916,0.0004635399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008876288,0.0009354433,0.188751,0.0007383354,0.0009074187,0.001615905,0.001869823,0.01742595,0.05528067,0.01029182,0.006881065,0.7144151],"study_design_scores_gemma":[0.0002342136,0.006431968,0.7074236,0.000240028,0.0006275806,0.001732636,0.002907441,0.1692319,0.04085628,0.02411507,0.04591477,0.0002845226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1811897,0.0001828075,0.8056085,0.0002481936,0.00008824467,0.001013829,0.002865493,0.003545529,0.005257645],"genre_scores_gemma":[0.3250928,0.0001111754,0.6673306,0.0001934376,0.00004532179,0.001779747,0.002378707,0.0006624963,0.002405738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01087933,"threshold_uncertainty_score":0.05753607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09574398305062984,"score_gpt":0.3071627217564057,"score_spread":0.2114187387057758,"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."}}