{"id":"W4312128979","doi":"10.1111/pce.14524","title":"Leaves as bottlenecks: The contribution of tree leaves to hydraulic resistance within the soil−plant−atmosphere continuum","year":2022,"lang":"en","type":"article","venue":"Plant Cell & Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Brookhaven National Laboratory; Biological and Environmental Research; Smithsonian Tropical Research Institute; National Institute of Food and Agriculture; Maine Agricultural and Forest Experiment Station; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; Innovation and Technology Fund; Smithsonian Institution; National Science Foundation","keywords":"Atmosphere (unit); Hydraulic resistance; Environmental science; Resistance (ecology); Tree (set theory); Soil science; Atmospheric sciences; Agronomy; Biology; Geography; Geology; Mathematics; Physics; Meteorology; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001508564,0.0002110945,0.0004276716,0.0009878088,0.0002987936,0.0008493541,0.0003731789,0.0002988432,0.001050999],"category_scores_gemma":[0.002166108,0.0001966057,0.0002642504,0.0006405477,0.0005426432,0.001401863,0.0007122121,0.0004143286,0.0001700444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003698542,"about_ca_system_score_gemma":0.0001632773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001902252,"about_ca_topic_score_gemma":0.00158485,"domain_scores_codex":[0.9996158,0.00009790209,0.00001634185,0.0001736433,0.00005779502,0.00003851003],"domain_scores_gemma":[0.9980125,0.001061291,0.0004200455,0.0001864554,0.0001651185,0.0001544267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005290972,0.00007544453,0.7158781,0.0001723859,0.0003023413,0.0002092005,0.0008254228,0.01294757,0.2263628,0.002445159,0.0004990328,0.03975337],"study_design_scores_gemma":[0.000006998003,0.00008364893,0.9563866,0.00001192393,0.00005767679,0.0001632337,0.0002288913,0.03161434,0.008848124,0.001753159,0.0008165227,0.00002896887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989441,0.0002658592,0.009314175,0.00003959513,0.000002975517,0.000005269944,0.000273856,0.0001101199,0.0005470644],"genre_scores_gemma":[0.9991111,0.00002501959,0.0006145179,0.00001130393,0.000003038971,0.000003523655,0.0001312669,0.00002022308,0.00007989039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001902252,"threshold_uncertainty_score":0.007978141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003725006518254147,"score_gpt":0.15929969268494,"score_spread":0.1555746861666858,"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."}}