{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270468,0.0004952656,0.0002876085,0.0001816202,0.0002035529,0.0002508859,0.0003216827,0.0003094197,0.0024595],"category_scores_gemma":[0.0001773615,0.0002023022,0.0005851201,0.0001442731,0.0003256096,0.0001175324,0.0003548018,0.0008632179,0.0007876445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357317,"about_ca_system_score_gemma":0.0002228207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009952338,"about_ca_topic_score_gemma":0.002050352,"domain_scores_codex":[0.9998259,0.00002684458,0.00002000376,0.00006068426,0.00003958921,0.00002697639],"domain_scores_gemma":[0.9997528,0.00004157332,0.00009798323,0.00003750116,0.00001514099,0.00005494873],"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":[0.00004076878,0.000009232325,0.0001320845,0.000008057717,0.000004749014,0.00004799473,0.000006451942,0.00001722692,0.9993876,0.00003199993,0.00002487435,0.0002888648],"study_design_scores_gemma":[0.00004259261,0.0002148771,0.04529285,0.00001418465,0.00005255179,0.001219449,0.00006993043,0.00251037,0.94421,0.0001960305,0.006140693,0.00003655358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839538,0.0001941105,0.01176475,0.0001646805,0.0001191059,0.00004249524,0.001371624,0.0004843277,0.001905072],"genre_scores_gemma":[0.9907709,0.0001156023,0.0036367,0.0001571148,0.0000191176,0.00005512571,0.001784702,0.0004422361,0.003018371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0024595,"threshold_uncertainty_score":0.008227825,"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."}}