{"id":"W2939584742","doi":"10.1111/nph.15861","title":"AtEDT1/HDG11 regulates stomatal density and water‐use efficiency via <i>ERECTA</i> and <i>E2Fa</i>","year":2019,"lang":"en","type":"article","venue":"New Phytologist","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona Biomedical Research Commission; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Stomatal density; Water-use efficiency; Botany; Photosynthesis; Chemistry; Biology","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":[0.00007769324,0.0004119785,0.0001616259,0.0001536611,0.0001358961,0.0002536425,0.0002351822,0.0002226205,0.001315408],"category_scores_gemma":[0.00007993975,0.0001712509,0.0001804847,0.0001142878,0.0001869429,0.0001806917,0.0002732297,0.0003352747,0.0003197689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412708,"about_ca_system_score_gemma":0.000142339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006325805,"about_ca_topic_score_gemma":0.001528728,"domain_scores_codex":[0.9999279,0.000007867027,0.00000456756,0.00002723304,0.00001460173,0.00001796732],"domain_scores_gemma":[0.9999251,0.00001296689,0.00002360317,0.000008752334,0.000007803403,0.0000218212],"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":[0.00003390387,0.00001108646,0.0005316524,0.00001332509,0.000001856395,0.00001844873,0.000005678115,0.00003937673,0.9982359,0.00005975622,0.00003006809,0.001018894],"study_design_scores_gemma":[0.00003146892,0.00009536144,0.04057958,0.000004443883,0.0000164901,0.0001591249,0.00003013029,0.002027263,0.9535155,0.0001072865,0.003425422,0.000007821759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991474,0.0007668047,0.00555329,0.0001031257,0.00002412022,0.00001711052,0.0005451877,0.0002397881,0.001276499],"genre_scores_gemma":[0.9932198,0.0003679045,0.001958241,0.00006699777,0.000005270029,0.00001652158,0.0008938052,0.00004619059,0.003425227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315408,"threshold_uncertainty_score":0.004400492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333914478037958,"score_gpt":0.2146805485688772,"score_spread":0.2013414037884976,"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."}}