{"id":"W2138619377","doi":"10.1175/jhm-d-13-093.1","title":"Long-Term Changes of Lake Level and Water Budget in the Nam Co Lake Basin, Central Tibetan Plateau","year":2014,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"China Meteorological Administration; Chinese Academy of Sciences","keywords":"Plateau (mathematics); Environmental science; Hydrology (agriculture); Water balance; Precipitation; Surface runoff; Climate change; Water level; Structural basin; Lake ecosystem; Glacier; Climatology; Physical geography; Geology; Ecosystem; Oceanography; Geomorphology; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007085565,0.00009447646,0.0002978567,0.0000671235,0.00007687829,0.00001651689,0.0001933532,0.0000610599,0.000855782],"category_scores_gemma":[0.00004986114,0.00004981329,0.00004878758,0.00009983232,0.0001377651,0.00008068841,0.00001227523,0.0001731153,0.000005921198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001822265,"about_ca_system_score_gemma":0.00001176303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223137,"about_ca_topic_score_gemma":0.05594172,"domain_scores_codex":[0.9990248,0.000139849,0.0003017967,0.0000925903,0.0001637349,0.0002772477],"domain_scores_gemma":[0.999414,0.000239464,0.0001602699,0.00009376079,0.00003761879,0.00005492094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005254053,0.00002228558,0.9924232,0.0000130125,0.00003831279,0.00002758813,0.0007924784,0.0001671241,0.00009432946,0.00001710969,0.0003389187,0.006013133],"study_design_scores_gemma":[0.0004567827,0.0006310352,0.9830637,0.000009199735,0.00002670579,0.000206511,0.0001022636,0.0001750189,0.00005383067,0.0002366624,0.01497761,0.00006067825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955316,0.0003886513,0.0000423823,0.003331244,0.0003134424,0.00006090326,0.00004611328,0.000002184814,0.0002834514],"genre_scores_gemma":[0.9985892,0.0003121244,0.0001600556,0.0007212327,0.0001423421,2.965699e-7,0.00002232786,0.00000231499,0.00005008031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05581941,"threshold_uncertainty_score":0.9612849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375202490467849,"score_gpt":0.2315728606940557,"score_spread":0.2078208357893772,"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."}}