{"id":"W3006447927","doi":"10.1016/j.fcr.2020.107742","title":"Grain yield genetic gains and changes in physiological related traits for CIMMYT’s High Rainfall Wheat Screening Nursery tested across international environments","year":2020,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Indian Council of Agricultural Research; Bill and Melinda Gates Foundation","keywords":"Genetic gain; Climate change; Food security; Yield (engineering); Grain yield; Agronomy; Biology; Animal science; Environmental science; Genetic variation; Biotechnology; Ecology; Agriculture; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994086,0.0001047907,0.0001547557,0.00001689526,0.0001760875,0.00006023429,0.0002584418,0.0002040314,0.0003224902],"category_scores_gemma":[0.000260152,0.00004962146,0.0000400053,0.0001608411,0.0001042567,0.00002924693,0.0001693247,0.0002999846,0.000006614031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008054295,"about_ca_system_score_gemma":0.000004009634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582163,"about_ca_topic_score_gemma":0.0004663346,"domain_scores_codex":[0.9987483,0.0001039292,0.0001639767,0.0003684091,0.0001946573,0.0004207323],"domain_scores_gemma":[0.9993718,0.0004212442,0.00002443208,0.00003615274,0.00003120886,0.0001151674],"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":[0.000146871,0.00006354294,0.009528029,0.000009037685,0.00001190545,0.00002546353,0.0006878345,0.00001403355,0.8738973,0.00004571759,0.001907555,0.1136627],"study_design_scores_gemma":[0.0007944833,0.002630774,0.9530886,0.00004732869,0.000004249895,0.00001010054,0.000946111,0.001572455,0.02266663,0.001047094,0.01691634,0.0002758369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746543,0.0001917967,0.0000299395,0.02452758,0.00006406593,0.0002941902,0.00006345977,0.00001332122,0.000161387],"genre_scores_gemma":[0.9974307,0.000305399,0.0002402283,0.001057118,0.0003013058,0.0000512393,0.000063842,0.000001636102,0.00054854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9435605,"threshold_uncertainty_score":0.3531042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459870011101839,"score_gpt":0.3417591770862254,"score_spread":0.1957721759760415,"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."}}