{"id":"W4389728190","doi":"10.1016/j.agrformet.2023.109848","title":"Large variation in the radial patterns of sap flow among urban trees","year":2023,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transpiration; Vapour Pressure Deficit; Environmental science; Hydrology (agriculture); Tree (set theory); Growing season; Flow (mathematics); Atmospheric sciences; Ecology; Mathematics; Geology; Biology; Botany; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001645538,0.0000591844,0.00008181186,0.00002196176,0.00004646877,0.000008033969,0.00008953625,0.00005725596,0.00003912044],"category_scores_gemma":[0.000008090222,0.00002892125,0.00002432771,0.0001725841,0.00003823658,0.00008463607,0.0000494142,0.00006460215,0.00001754551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001008311,"about_ca_system_score_gemma":7.440272e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005415428,"about_ca_topic_score_gemma":0.009030297,"domain_scores_codex":[0.9994935,0.0000615115,0.0001124874,0.0001081455,0.00007881592,0.0001455187],"domain_scores_gemma":[0.9998347,0.00005230499,0.00003745447,0.000055324,0.000002139413,0.00001812351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005116143,0.00001715136,0.9913298,0.000001595546,0.000005408124,0.000004095702,0.001921896,0.004293514,0.0009831649,0.00101001,0.0002220566,0.0002061153],"study_design_scores_gemma":[0.0001789758,0.00004417919,0.9835667,0.000001683848,0.000009420701,0.00000826559,0.00008520931,0.01521471,0.000006065753,0.0006018201,0.0002370431,0.00004592644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990373,0.000008216763,0.00004960794,0.0002297055,0.00004939945,0.00009473407,0.0000269206,0.00001121253,0.0004929322],"genre_scores_gemma":[0.9995846,0.00002817892,0.00001960531,0.00003671742,0.00002333686,0.00001286222,0.00009609762,0.000001579245,0.0001970124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109212,"threshold_uncertainty_score":0.5039118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004885881071456048,"score_gpt":0.1757712284136933,"score_spread":0.1708853473422372,"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."}}