{"id":"W4284978158","doi":"10.3390/ijms23147574","title":"Genome-Wide Identification of TaSAUR Gene Family Members in Hexaploid Wheat and Functional Characterization of TaSAUR66-5B in Improving Nitrogen Use Efficiency","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Arabidopsis; Auxin; Gene; Biology; Gene family; Genome; Transgene; Promoter; Function (biology); Genetically modified crops; Gene expression; Nitrogen; Botany; Cell biology; Biochemistry; Chemistry","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":[0.000102453,0.0002663694,0.0001688016,0.0003026322,0.0001501735,0.0001618579,0.00009475031,0.0001519168,0.000813817],"category_scores_gemma":[0.00006796318,0.0001317077,0.0003007861,0.0003003219,0.0001123874,0.0001101722,0.0002101624,0.000214034,0.0002550332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130698,"about_ca_system_score_gemma":0.0001135449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006331179,"about_ca_topic_score_gemma":0.000837961,"domain_scores_codex":[0.9999471,0.000004033035,0.000006101891,0.00002314068,0.00001225717,0.000007356391],"domain_scores_gemma":[0.9999444,0.000006197233,0.00001508677,0.000005498691,0.000007102384,0.00002159341],"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":[0.0001267038,0.00001622082,0.001871363,0.00004300154,0.000007764939,0.00007931484,0.00003152557,0.00005089422,0.994651,0.00005701013,0.00005738465,0.003007918],"study_design_scores_gemma":[0.0001590477,0.0006960143,0.5249162,0.00004968588,0.0002660409,0.002494797,0.0004009379,0.005352605,0.4472401,0.0004989812,0.01788677,0.00003881659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929671,0.001160749,0.00336369,0.00006659811,0.00001677848,0.00002096614,0.001587141,0.00007092626,0.0007460075],"genre_scores_gemma":[0.9853224,0.001004343,0.003996382,0.0001029549,0.000008357971,0.00002327431,0.006703491,0.00002600169,0.002812794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000813817,"threshold_uncertainty_score":0.002722502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652889854730359,"score_gpt":0.2097049377572517,"score_spread":0.1931760392099481,"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."}}