{"id":"W2943335865","doi":"10.1029/2018ef001047","title":"How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates","year":2019,"lang":"en","type":"article","venue":"Earth s Future","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Bonneville Power Administration; Bureau of Reclamation; Oregon State University; University of Washington","keywords":"Downscaling; Streamflow; Climate change; Environmental science; Hydrological modelling; Climatology; Climate model; Representative Concentration Pathways; Surface runoff; Hydrology (agriculture); Drainage basin; Precipitation; Meteorology; Geography; Ecology; Geology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01013466,0.0004617401,0.0005636377,0.0006211047,0.0005085512,0.00174037,0.000631424,0.0008030988,0.0006648375],"category_scores_gemma":[0.02087491,0.0004329415,0.001045629,0.000563584,0.0005895894,0.001954542,0.000825508,0.0009409465,0.00009468383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006354477,"about_ca_system_score_gemma":0.0006433222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008010864,"about_ca_topic_score_gemma":0.009371636,"domain_scores_codex":[0.9978274,0.001460144,0.0001018793,0.000328036,0.0001522288,0.0001304062],"domain_scores_gemma":[0.9882563,0.008788286,0.001018895,0.001130609,0.0005356131,0.0002702686],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001604788,0.0001414764,0.1989445,0.00002814717,0.0008219057,0.00007190237,0.0001745926,0.7889811,0.001810917,0.00113946,0.0002380243,0.007487449],"study_design_scores_gemma":[0.00005307389,0.0001804088,0.05835774,0.00002078671,0.0002070227,0.00002128156,0.0003851547,0.9365149,0.001534762,0.002136251,0.0005424622,0.00004618723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952471,0.00004342951,0.003957662,0.0001002219,0.000007097458,0.00001603471,0.0001338615,0.00002284721,0.0004717707],"genre_scores_gemma":[0.998073,0.00003900462,0.001609347,0.00001719166,0.000004587423,0.00001712641,0.0001686467,0.00001246874,0.00005858298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9898654,"threshold_uncertainty_score":0.05359781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913083843863634,"score_gpt":0.2541397432490534,"score_spread":0.2050089048104171,"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."}}