{"id":"W2946964232","doi":"10.1016/j.jgg.2019.02.009","title":"Pyramiding of the dep1-1 and NAL1 alleles achieves sustainable improvements in nitrogen-use efficiency and grain yield in japonica rice breeding","year":2019,"lang":"en","type":"letter","venue":"Journal of genetics and genomics/Journal of Genetics and Genomics","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Glutamine amidotransferase; Glutamine synthetase; Glutamate synthase; Biology; Stringent response; Nitrogen deficiency; Mutant; Biochemistry; Glutamine; Amino acid; Nitrogen; Chemistry; 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":[0.00119458,0.0003822618,0.0009120564,0.0002257563,0.0001614731,0.0002454602,0.0005008112,0.0004450094,0.000002140269],"category_scores_gemma":[0.0001047778,0.000191619,0.0001786133,0.000220441,0.0001830289,0.000118053,0.0003996594,0.001103229,1.045986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007308009,"about_ca_system_score_gemma":0.0001535051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008167505,"about_ca_topic_score_gemma":0.0001077429,"domain_scores_codex":[0.9972667,0.000117996,0.001406232,0.0003153114,0.0003621129,0.0005316705],"domain_scores_gemma":[0.9974046,0.0003157168,0.001723081,0.0001102045,0.0002954424,0.0001509583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006145078,0.000341671,0.07496685,0.0005228833,0.0004619731,0.0003834381,0.002537515,0.0005288074,0.8789204,0.0001261744,0.004770777,0.03582495],"study_design_scores_gemma":[0.005294411,0.005656228,0.4113995,0.001165193,0.0009697134,0.002979206,0.006074666,0.001286152,0.01103925,0.00606424,0.5462849,0.001786451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385495,0.05313256,0.000007548244,0.007589424,0.0003368676,0.0003009169,0.00007010419,9.442061e-7,0.00001215406],"genre_scores_gemma":[0.8483678,0.1450806,0.0005890125,0.004946706,0.0008609911,0.000001052159,0.000005197987,0.00001245883,0.0001362625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8678812,"threshold_uncertainty_score":0.7813998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697553372302005,"score_gpt":0.1969211221073576,"score_spread":0.1799455883843376,"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."}}