{"id":"W2800345558","doi":"10.1111/pce.13322","title":"Water transport through tall trees: A vertically explicit, analytical model of xylem hydraulic conductance in stems","year":2018,"lang":"en","type":"article","venue":"Plant Cell & Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Wallonie-Bruxelles International; Fédération Wallonie-Bruxelles; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; University of Tennessee, Knoxville; University of Nebraska-Lincoln; National Science Foundation; Université Catholique de Louvain; National Institute for Mathematical and Biological Synthesis; Fonds Spéciaux de Recherche; Belgian American Educational Foundation; Vetenskapsrådet","keywords":"Xylem; Conductance; Hydraulic conductivity; Water transport; Geology; Mechanics; Mathematics; Hydrology (agriculture); Geotechnical engineering; Botany; Soil science; Biology; Physics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000177797,0.0002214628,0.0002816616,0.00003512245,0.0000489921,0.000007456466,0.0002565768,0.0001161002,0.0009360746],"category_scores_gemma":[0.000001244652,0.0001689386,0.00007723198,0.00006835964,0.0002748951,0.0001756467,0.00009461675,0.0001567805,0.0004239619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167624,"about_ca_system_score_gemma":0.000006683123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002302485,"about_ca_topic_score_gemma":0.0001775434,"domain_scores_codex":[0.9981483,0.00003438869,0.000480847,0.0004585803,0.0004185631,0.0004592856],"domain_scores_gemma":[0.9994528,0.00002301097,0.00005858996,0.000355879,0.00000175937,0.0001079733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002443289,0.001056627,0.04528015,0.0000265795,0.00003616222,0.00007687115,0.004975832,0.4757596,0.4716227,0.0005880764,0.000162853,0.0001702716],"study_design_scores_gemma":[0.0008561114,0.0002530471,0.005618209,0.00002630435,0.00005475093,0.00001402215,0.00006741063,0.9380916,0.04922418,0.000802362,0.004567564,0.000424379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799464,0.0000170984,0.004768924,0.00009492283,0.00003558838,0.0002409794,0.0001051406,0.00001614683,0.01477482],"genre_scores_gemma":[0.9975295,0.0001148104,0.001103261,0.0001391292,0.00001616734,0.00002409099,0.00009905033,0.00001916484,0.000954814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4623321,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650818483875434,"score_gpt":0.192714496653581,"score_spread":0.1762063118148266,"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."}}