{"id":"W1060464084","doi":"10.1080/02626667.2014.967695","title":"Climate change impacts on streamflow and sediment yield in the North of Iran","year":2015,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Streamflow; Climate change; Environmental science; Sediment; Surface runoff; Yield (engineering); Structural basin; Hydrology (agriculture); Drainage basin; SWAT model; Climatology; Geology; Geography; Oceanography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916635,0.0001978074,0.0002305505,0.0005370882,0.000373964,0.000648364,0.0002344103,0.0002403615,0.0007937627],"category_scores_gemma":[0.001012819,0.0001057375,0.000248362,0.0009447208,0.0002497737,0.0003748842,0.0002860953,0.0002357026,0.00009511014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007839657,"about_ca_system_score_gemma":0.0008876278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724073,"about_ca_topic_score_gemma":0.01979233,"domain_scores_codex":[0.999796,0.00004836015,0.00001632632,0.00005127499,0.00006079911,0.00002728024],"domain_scores_gemma":[0.9995472,0.0001122332,0.0001226093,0.00001739459,0.0001621631,0.00003842756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698125,0.0001109416,0.8582214,0.0002313073,0.0001515458,0.002585544,0.0007884371,0.02350187,0.004263084,0.001148378,0.01218264,0.09654495],"study_design_scores_gemma":[0.00001811029,0.00008692174,0.9708788,0.00002986103,0.00007442366,0.0004701487,0.0009462769,0.01650136,0.0009103593,0.001103301,0.008957542,0.00002293524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990922,0.001520456,0.0006452028,0.001915973,0.0003208894,0.00001383877,0.0004209757,0.0000426206,0.004197997],"genre_scores_gemma":[0.9967429,0.001527074,0.0005070854,0.00009324456,0.0002522826,0.000006509733,0.0002058784,0.000007072714,0.0006580406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724073,"threshold_uncertainty_score":0.03428078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09607720571360844,"score_gpt":0.2781877901790952,"score_spread":0.1821105844654868,"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."}}