{"id":"W2011637552","doi":"10.4296/cwrj2804605","title":"Changes in Seasonal and Extreme Hydrologic Conditions of the Georgia Basin/Puget Sound in an Ensemble Regional Climate Simulation for the Mid-Century","year":2003,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Office of Science; National Oceanic and Atmospheric Administration; Pennsylvania State University; Battelle; Joint Institute for the Study of the Atmosphere and Ocean; U.S. Department of Energy","keywords":"Environmental science; Climatology; Climate change; Precipitation; Climate model; Snowpack; Snow; Flood myth; Surface runoff; Streamflow; Flood control; Drainage basin; Meteorology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071123,0.0004431375,0.000406897,0.0003676695,0.0003402991,0.0007756884,0.0004792915,0.0007374226,0.0005548973],"category_scores_gemma":[0.001067236,0.0002973719,0.0007229717,0.000473401,0.000241027,0.0004883924,0.0003291656,0.000538742,0.00008438767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034728,"about_ca_system_score_gemma":0.001034654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352187,"about_ca_topic_score_gemma":0.1027543,"domain_scores_codex":[0.9998506,0.00004365137,0.000006914117,0.00004996061,0.00002305506,0.00002576684],"domain_scores_gemma":[0.9997625,0.00006666041,0.00003298599,0.00003583488,0.0000588934,0.00004314062],"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":[0.0001314775,0.00009064701,0.1148839,0.00002548284,0.0002996844,0.0002272494,0.0001175467,0.8755833,0.001833272,0.0008119546,0.001499701,0.004495791],"study_design_scores_gemma":[0.00006273204,0.00006828696,0.06104279,0.000009907965,0.0001216265,0.00004424767,0.0001014331,0.9362608,0.0004872192,0.0004255941,0.001339578,0.00003589606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973367,0.00006501631,0.0008027205,0.0001279598,0.00002103,0.000007381487,0.0007064975,0.00005570019,0.0008769416],"genre_scores_gemma":[0.9974594,0.00005698623,0.001155857,0.00004476059,0.000008401423,0.00001365884,0.0009846776,0.0000170679,0.0002591739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647813,"threshold_uncertainty_score":0.2688633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927856079844743,"score_gpt":0.2354191169472684,"score_spread":0.1961405561488209,"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."}}