{"id":"W1908569208","doi":"10.1002/jgrd.50665","title":"Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":363,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China; Fundamental Research Funds for the Central Universities; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Snowmelt; Surface runoff; Streamflow; Hydrology (agriculture); Glacier; Precipitation; Environmental science; Structural basin; Plateau (mathematics); Drainage basin; Climatology; Snow; Physical geography; Geology; Geography; Geomorphology; Meteorology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004088076,0.00007623709,0.0001813884,0.000007118472,0.00027708,0.0000640018,0.0001986978,0.00003222003,0.0009470204],"category_scores_gemma":[0.0004319397,0.00004105402,0.0001029112,0.0002110995,0.0002450614,0.0002814,0.00002511468,0.0001966567,0.00001748617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006318084,"about_ca_system_score_gemma":0.0000485488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368661,"about_ca_topic_score_gemma":0.0003643808,"domain_scores_codex":[0.9988521,0.0000621151,0.0002553052,0.0000971153,0.0004838097,0.0002495537],"domain_scores_gemma":[0.9962561,0.002985761,0.0001547739,0.0001141668,0.0003800956,0.0001091401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008776659,0.0001737562,0.7161267,0.00009205626,0.0005078582,0.00000506689,0.001108026,0.02004641,0.0004137244,0.001368893,0.02329766,0.2359822],"study_design_scores_gemma":[0.0005939748,0.0004996597,0.9294633,0.00002298218,0.00002285411,0.000001028875,0.0007906966,0.0567644,0.00003515511,0.006841833,0.00491112,0.00005298222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968072,0.000980095,0.0003441368,0.001214339,0.00008298858,0.0003177301,0.00001923726,0.000002688788,0.0002316016],"genre_scores_gemma":[0.9978735,0.0002234155,0.001140974,0.00003011917,0.000236681,0.000002192155,0.000002235987,0.000003311865,0.000487609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2359292,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938750839670876,"score_gpt":0.30806384652483,"score_spread":0.2686763381281213,"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."}}