{"id":"W3140795373","doi":"10.5194/hess-25-3653-2021","title":"The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau","year":2021,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Streamflow; Meltwater; Environmental science; Surface runoff; Plateau (mathematics); Hydrology (agriculture); Precipitation; Snow; Snowmelt; Watershed; Evapotranspiration; Drainage basin; Geology; Meteorology; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002148142,0.0001079383,0.0001623996,0.00003103265,0.0009645579,0.00003644828,0.0004548144,0.00004727871,0.00003565913],"category_scores_gemma":[0.00003485258,0.00004814425,0.00001678655,0.0001787978,0.001012295,0.0001222507,0.000432021,0.0001180512,0.00003550788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524507,"about_ca_system_score_gemma":0.00001179425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343097,"about_ca_topic_score_gemma":0.0004188658,"domain_scores_codex":[0.9985384,0.0002608465,0.0002131442,0.0004209451,0.0002236379,0.0003430676],"domain_scores_gemma":[0.9993314,0.0002512962,0.0000701274,0.0003187141,0.000003083721,0.00002537248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001422058,0.0006430508,0.5454115,0.0006632106,0.0005231274,0.0004533881,0.04134553,0.1112572,0.01668464,0.2738022,0.001150034,0.006644096],"study_design_scores_gemma":[0.006147003,0.004537488,0.1034505,0.0008987875,0.0003247913,0.0002725282,0.11517,0.6648852,0.05509781,0.03752818,0.009669822,0.002017815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819788,0.00006606313,0.0000517325,0.006146096,0.0001671015,0.0002315054,0.000002495408,0.00001139109,0.01134486],"genre_scores_gemma":[0.9993863,0.00003251986,0.00001296947,0.0003797292,0.00001076309,0.00001573783,0.000001885228,0.000002573242,0.0001575466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.553628,"threshold_uncertainty_score":0.7418697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897945851214198,"score_gpt":0.2503224672058673,"score_spread":0.2113430086937253,"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."}}