{"id":"W4224300320","doi":"10.1029/2021jg006719","title":"Using Stable Water Isotope Composition (δ<sup>18</sup>O and δ<sup>2</sup>H) to Track the Interannual Responses of Arctic and Tropical Andean Water Bodies to Rising Air Temperatures","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Memorial University of Newfoundland; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; W. Garfield Weston Foundation","keywords":"Arctic; Bay; Precipitation; Environmental science; Oceanography; Physical geography; Snowmelt; Stable isotope ratio; Ecology; Snow; Geology; Geography","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":[0.0002824929,0.0002506949,0.0001543278,0.0008675804,0.0004551204,0.0006535483,0.0002119021,0.000162628,0.0006322393],"category_scores_gemma":[0.0003497267,0.000109546,0.0001739429,0.001139108,0.0002005744,0.0002644311,0.0003110918,0.0001726221,0.000136109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005229808,"about_ca_system_score_gemma":0.0005445412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129162,"about_ca_topic_score_gemma":0.3189025,"domain_scores_codex":[0.9999101,0.00001013672,0.000006461431,0.00003313625,0.00002241072,0.00001770688],"domain_scores_gemma":[0.9998257,0.00001717502,0.00006017078,0.00001619055,0.00005822982,0.00002249136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006246135,0.00002098184,0.9771417,0.00001715947,0.0001060325,0.00003046673,0.0001278738,0.000522554,0.011083,0.00003884725,0.0002787924,0.01057019],"study_design_scores_gemma":[0.000003713098,0.00001178392,0.995077,0.000006089976,0.00002949565,0.00002731567,0.0002115222,0.001512222,0.001948321,0.00004376144,0.001123843,0.00000498591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961785,0.0002505661,0.000672949,0.00004090593,0.000007954199,0.000007100959,0.0014009,0.00002182907,0.00141929],"genre_scores_gemma":[0.996687,0.0001867307,0.001335382,0.00003429782,0.000007214303,0.00001065107,0.001375982,0.0000106113,0.0003522116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129162,"threshold_uncertainty_score":0.2245179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07739700255913212,"score_gpt":0.3341146292692073,"score_spread":0.2567176267100751,"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."}}