{"id":"W2965383753","doi":"10.1002/hyp.13560","title":"Using stable isotopes to quantify water sources for trees and shrubs in a riparian cottonwood ecosystem in flood and drought years","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Riparian zone; Environmental science; Meteoric water; Groundwater; Transpiration; Hydrology (agriculture); Xylem; Ecology; Geology; Botany; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001806129,0.0002460533,0.0001749988,0.0009840408,0.0006869844,0.0005260542,0.0003396414,0.0002136876,0.0004395487],"category_scores_gemma":[0.000183451,0.0001870402,0.0001250112,0.0006460179,0.0003017632,0.0002555592,0.0002697555,0.0001686166,0.00007412358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293213,"about_ca_system_score_gemma":0.0006265049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2377456,"about_ca_topic_score_gemma":0.5632381,"domain_scores_codex":[0.999935,0.00000611145,0.000002761946,0.00001986529,0.00001487788,0.00002130109],"domain_scores_gemma":[0.9998217,0.00002101071,0.00004424579,0.000006538702,0.00004292812,0.00006367508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00037102,0.00007369938,0.9258065,0.00002693492,0.00005793151,0.0001983525,0.0008873111,0.0003015114,0.06711182,0.00002872114,0.00005647108,0.005079587],"study_design_scores_gemma":[0.000001499562,0.00002325489,0.9991267,8.77176e-7,0.000005113535,0.00001357587,0.0002825692,0.0001693004,0.0003186991,0.000005004812,0.00005191296,0.000001499101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997956,0.00002105682,0.00002805669,0.000001815795,2.407256e-7,0.000002505982,0.00005855869,0.000001512946,0.00009063712],"genre_scores_gemma":[0.9992,0.00003553039,0.0002330843,0.000009560576,8.015934e-7,0.000006802306,0.0002540811,0.000001424195,0.0002585615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377456,"threshold_uncertainty_score":0.4727235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741842525726868,"score_gpt":0.2280088344776758,"score_spread":0.2105904092204071,"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."}}