{"id":"W4390271833","doi":"10.3389/feart.2023.1249107","title":"Analysis of runoff variations in an arid catchment based on multi-model ensemble- a case study in the Tarim River Basin in Central Asia","year":2023,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Natural Science Foundation of Xinjiang Province","keywords":"Surface runoff; Hydrology (agriculture); Groundwater recharge; Meltwater; Drainage basin; Precipitation; Glacier; Environmental science; Arid; Structural basin; Water resources; Climate change; Snowmelt; Physical geography; Geology; Groundwater; Geography; Aquifer; Geomorphology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007940987,0.0004908997,0.0006275689,0.0007096677,0.000467181,0.000820934,0.0007643914,0.0008546419,0.0004851526],"category_scores_gemma":[0.0009513628,0.0002841054,0.001198366,0.001045386,0.0003418282,0.0006503019,0.0004145342,0.0004136758,0.00004450205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339148,"about_ca_system_score_gemma":0.0007292034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08060443,"about_ca_topic_score_gemma":0.05742593,"domain_scores_codex":[0.9997846,0.00005085221,0.00001902395,0.00006327802,0.00003062749,0.00005148825],"domain_scores_gemma":[0.999592,0.000157504,0.00005718045,0.00005214568,0.00008662741,0.0000544795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001865852,0.0003663228,0.1586294,0.00004943441,0.0002785005,0.00111952,0.0002190157,0.8246982,0.003425341,0.0005025298,0.0004961977,0.01002898],"study_design_scores_gemma":[0.00001242093,0.00002578786,0.03930612,0.000003339389,0.00003684304,0.00003086671,0.0001347381,0.9599126,0.0003366699,0.00009127545,0.00009476268,0.00001452023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988796,0.00002375265,0.0006865679,0.00003967679,0.000003250297,0.000005456674,0.0001374805,0.00003327806,0.000191025],"genre_scores_gemma":[0.9990981,0.00002356562,0.0005740281,0.000006113292,0.000003425565,0.000005029721,0.0002081096,0.000004595127,0.0000771182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08060443,"threshold_uncertainty_score":0.1602705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587278311119047,"score_gpt":0.269336811390008,"score_spread":0.2334640282788176,"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."}}