{"id":"W2157411673","doi":"10.1016/j.jhydrol.2011.04.035","title":"Distinguishing human and climate influences on the Columbia River: Changes in mean flow and sediment transport","year":2011,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bonneville Power Administration; U.S. Geological Survey; BC Hydro","keywords":"Streamflow; Environmental science; Sediment; Climate change; Hydrology (agriculture); Sediment transport; Flow (mathematics); Spring (device); Pacific decadal oscillation; Discharge; Drainage basin; Geology; Climatology; El Niño Southern Oscillation; Oceanography; Geography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000725574,0.00007216203,0.0001608385,0.00003595979,0.0001864333,0.0000071141,0.000116731,0.00003985094,0.0001755231],"category_scores_gemma":[0.00001455853,0.00005147274,0.00001687179,0.00003991439,0.0004604437,0.00007479319,0.00008696492,0.0001603913,0.00000345136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001563158,"about_ca_system_score_gemma":0.000001016546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005248614,"about_ca_topic_score_gemma":0.008293048,"domain_scores_codex":[0.9993517,0.00007446628,0.0001809173,0.000117306,0.00009306934,0.0001825493],"domain_scores_gemma":[0.9997266,0.0000477288,0.0001295996,0.00005861209,0.000003290211,0.00003416924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004567688,0.00003993151,0.9915415,0.000005268919,0.00002832754,0.00009278327,0.007274899,0.0001217993,0.0002090076,0.0000899048,0.0001179752,0.0004329185],"study_design_scores_gemma":[0.000355729,0.0005871818,0.9948658,0.00001658225,0.00003616844,0.00002962913,0.0002140974,0.000154469,0.00008118576,0.002985534,0.0006071712,0.00006649931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955617,0.00004919327,0.000001892844,0.001523652,0.0000648422,0.00007021914,9.010275e-7,0.000003597611,0.002724003],"genre_scores_gemma":[0.9987777,0.0001929562,0.000121588,0.0008615035,0.00001856771,0.000002995422,1.982204e-7,0.00000333104,0.00002110306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007768186,"threshold_uncertainty_score":0.4627715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869978434571727,"score_gpt":0.219867089941262,"score_spread":0.2011673055955447,"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."}}