{"id":"W4310088510","doi":"10.1126/sciadv.adc9785","title":"High-temperature adaptation of an <i>OsNRT2.3</i> allele is thermoregulated by small RNAs","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; National Key Research and Development Program of China; Government of Jiangsu Province; Chinese Academy of Sciences; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Institute of Genetics; National Natural Science Foundation of China; Texas Tech University","keywords":"Allele; Untranslated region; Agriculture; Gene; Yield (engineering); Biology; Gene isoform; Food security; Messenger RNA; Agronomy; Genetics; Ecology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004158877,0.0001097279,0.0001522265,0.00002292224,0.0006350757,0.0000442906,0.0006460471,0.00002418341,0.0002978648],"category_scores_gemma":[0.00001808943,0.00004607631,0.00004138584,0.001073057,0.0002189625,0.0005988481,0.0000926806,0.0001089097,0.000003628067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561586,"about_ca_system_score_gemma":0.00002795922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001649071,"about_ca_topic_score_gemma":0.0001666905,"domain_scores_codex":[0.9985774,0.00006073569,0.0001801335,0.0003776166,0.0005197059,0.0002843851],"domain_scores_gemma":[0.9995574,0.0000357581,0.0001442102,0.0000796998,0.00008530374,0.00009759482],"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":[0.00002757791,0.0000808276,0.0001328478,9.426881e-7,0.00000163878,0.000001231147,0.0001682024,0.0001901151,0.8734244,0.0002256901,0.0003426352,0.125404],"study_design_scores_gemma":[0.0002230771,0.0004770862,0.01108556,0.000005281036,0.000008607723,0.00001032332,0.002219612,0.0001041851,0.5246133,0.001011414,0.4600124,0.0002291513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961935,0.002478766,0.000001437762,0.0004939443,0.0002693698,0.000140774,0.0002683003,0.00004111004,0.0001127479],"genre_scores_gemma":[0.998154,0.0001978525,0.000258101,0.0005941021,0.00006193078,0.0000185681,0.0001841951,7.931657e-7,0.0005304436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596698,"threshold_uncertainty_score":0.4884553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203278438855252,"score_gpt":0.2057837813125355,"score_spread":0.193750996923983,"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."}}