{"id":"W4312032633","doi":"10.1002/csc2.20895","title":"Mega‐environment analysis and breeding for specific adaptation","year":2022,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Brandon University; Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Biology; Adaptation (eye); Selection (genetic algorithm); Heritability; Mega-; Gene–environment interaction; Crop; Biotechnology; Adaptability; Plant breeding; Cultivar; Statistics; Genotype; Agronomy; Computer science; Mathematics; Evolutionary biology; Ecology; Genetics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689611,0.00004278877,0.0000583299,0.00002257604,0.0009318808,0.00009564996,0.000173221,0.000007636566,0.0002703091],"category_scores_gemma":[0.000008285975,0.00001909293,0.00003056834,0.0006383697,0.00008926194,0.00005656185,0.0001103825,0.00003116503,0.000001039497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002270001,"about_ca_system_score_gemma":0.000003748003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000420477,"about_ca_topic_score_gemma":0.00001992826,"domain_scores_codex":[0.9993009,0.000008504345,0.0000731187,0.0002376332,0.0002265463,0.0001533236],"domain_scores_gemma":[0.9998171,0.00005463104,0.0000366786,0.00002449712,0.00001417076,0.00005286203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006652254,0.00001360126,0.008102708,8.795999e-7,0.000005414339,5.363453e-7,0.000185674,0.002240899,0.8914604,0.0005512619,0.00009026293,0.09734177],"study_design_scores_gemma":[0.0001713028,0.0007078364,0.7378841,0.000002824258,0.00008590443,0.00001364364,0.003488571,0.08071855,0.008924889,0.001298631,0.1663191,0.000384677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985278,0.0001385853,0.0005855788,0.0003429624,0.00007439246,0.0000874965,0.00003887506,0.000008230848,0.0001960845],"genre_scores_gemma":[0.9988145,0.00003900462,0.0009327102,0.00004371613,0.00004529808,0.00001317761,0.00001366062,2.031233e-7,0.00009771518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8825355,"threshold_uncertainty_score":0.7167368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947444562530032,"score_gpt":0.2018707471188008,"score_spread":0.1523963014935005,"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."}}