{"id":"W1973627932","doi":"10.1016/j.advwatres.2011.09.015","title":"Evaluation of future flow variability in ungauged basins: Validation of combined methods","year":2011,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; McMaster University","funders":"Ministry of Natural Resources; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Baseflow; Streamflow; Downscaling; Environmental science; Climatology; Precipitation; Climate change; Surface runoff; Climate model; Drainage basin; Meteorology; Geology; Geography","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":[0.005343499,0.0009447738,0.001207655,0.002661453,0.0008040698,0.001901828,0.001741866,0.001291789,0.001130222],"category_scores_gemma":[0.01108226,0.000552346,0.001148776,0.001936723,0.0006782836,0.002412282,0.001773608,0.001033021,0.000261896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212271,"about_ca_system_score_gemma":0.001439811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776914,"about_ca_topic_score_gemma":0.01939239,"domain_scores_codex":[0.9980066,0.0007726016,0.0001765096,0.0004979123,0.0004329354,0.0001133481],"domain_scores_gemma":[0.9909503,0.005021687,0.0006332045,0.001252574,0.001854688,0.0002876639],"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":[0.0006020946,0.0002819394,0.07859077,0.0000983742,0.0005902688,0.00007450544,0.0001696511,0.850256,0.00292334,0.0008205022,0.0004663317,0.06512612],"study_design_scores_gemma":[0.00003984917,0.00005331488,0.008973535,0.00001129918,0.00004906157,0.00001769756,0.00002930899,0.9883415,0.001879557,0.0004025952,0.0001808676,0.00002138103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937206,0.0003089975,0.1010482,0.0001033537,0.00004972961,0.00008918336,0.001389212,0.001027606,0.002263015],"genre_scores_gemma":[0.9570996,0.00006646986,0.04136715,0.00002004103,0.00001580375,0.0001025363,0.0008959349,0.00009744336,0.0003348619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01776914,"threshold_uncertainty_score":0.03533149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954734769987075,"score_gpt":0.3190188447795004,"score_spread":0.2794714970796297,"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."}}