{"id":"W4413214623","doi":"10.1029/2025gl115559","title":"Climate‐Dependent Hydrogen Isotopic Offset of Stem Water and Its Effect on Quantification of Plant Water Sources","year":2025,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Environmental science; Soil water; Precipitation; Loess plateau; Hydrology (agriculture); Stable isotope ratio; Water content; Atmospheric sciences; Soil science; Geology","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":[0.0006000169,0.0001851798,0.0001727207,0.0004708166,0.0001808366,0.0002812546,0.0001692383,0.0001399118,0.0003543899],"category_scores_gemma":[0.0006057947,0.0001346195,0.0001016543,0.0005160652,0.0002440219,0.000323002,0.0002936902,0.0001348546,0.00005398797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473619,"about_ca_system_score_gemma":0.0001023986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219416,"about_ca_topic_score_gemma":0.008222492,"domain_scores_codex":[0.9998115,0.0000540705,0.000008238711,0.000063143,0.00004403075,0.00001918461],"domain_scores_gemma":[0.9996355,0.0001465424,0.00008466998,0.00003360771,0.0000752878,0.00002436127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001833056,0.00001814852,0.8708742,0.00004245928,0.00008252727,0.00004335688,0.0001820841,0.001278343,0.1145807,0.000114396,0.00006739709,0.01253301],"study_design_scores_gemma":[0.000003675286,0.00002725377,0.9748103,0.000003225421,0.00002182274,0.00003446373,0.00008127633,0.006213401,0.01842735,0.00009904322,0.0002715968,0.000006636096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971317,0.00008957573,0.002079136,0.000008874149,0.000002488393,0.000003195806,0.0001587707,0.00001602667,0.0005101602],"genre_scores_gemma":[0.9989355,0.00002596771,0.0008309731,0.000008563137,0.000001544678,0.000004045688,0.0001180647,0.000004580702,0.00007073124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003219416,"threshold_uncertainty_score":0.00640136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577089483134836,"score_gpt":0.2600044865011368,"score_spread":0.2442335916697884,"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."}}