{"id":"W2296010050","doi":"10.1007/s00382-015-2831-7","title":"Assessment of climate change impacts on watershed in cold-arid region: an integrated multi-GCM-based stochastic weather generator and stepwise cluster analysis method","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"National Science Fund for Distinguished Young Scholars; Fundamental Research Funds for the Central Universities; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; State Key Laboratory of Desert and Oasis Ecology; University of Regina","keywords":"Streamflow; Watershed; Environmental science; Precipitation; Climate change; Climatology; Arid; Climate model; Hydrology (agriculture); Meteorology; Geography; Drainage basin; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007717648,0.0004288911,0.0005378762,0.0009523423,0.0004877678,0.0004520219,0.001062205,0.0005014175,0.0007278784],"category_scores_gemma":[0.001282001,0.0002599836,0.0007841827,0.0008823175,0.0001948717,0.0005810153,0.0004967954,0.0003583193,0.00009015289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006976118,"about_ca_system_score_gemma":0.001464865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03262149,"about_ca_topic_score_gemma":0.026073,"domain_scores_codex":[0.9998385,0.0000566979,0.00000862279,0.00004556999,0.000030468,0.00002015202],"domain_scores_gemma":[0.9996511,0.0001529973,0.00003492405,0.00002850932,0.00009580865,0.00003673213],"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":[0.000106696,0.0001269455,0.0155471,0.0000285882,0.0001003184,0.00007629716,0.00006148795,0.9575653,0.001468932,0.001602356,0.0003981428,0.02291789],"study_design_scores_gemma":[0.000003655016,0.000004422042,0.00114913,4.979487e-7,0.000005700553,0.000002313197,0.00000531867,0.9985753,0.00008203119,0.000151527,0.00001789944,0.00000222417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154717,0.00005337761,0.182103,0.0001113995,0.00001962539,0.0001105336,0.0005630444,0.0005681714,0.0009991424],"genre_scores_gemma":[0.9585082,0.00002725497,0.04060512,0.000007796654,0.000007307688,0.00005903243,0.0004747287,0.00003247903,0.0002780243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03262149,"threshold_uncertainty_score":0.06486326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610333930126708,"score_gpt":0.3104208591949175,"score_spread":0.2743175198936504,"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."}}