{"id":"W1604473557","doi":"","title":"Uncertainty analysis for propagation effects from statistical downscaling to hydrological modelingUncertainty analysis for propagation effects from statistical downscaling to hydrological modeling","year":2014,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Downscaling; Environmental science; Water cycle; Climate change; Climatology; Climate model; Hydrological modelling; GCM transcription factors; Statistical model; Meteorology; Propagation of uncertainty; General Circulation Model; Computer science; Geology; Machine learning","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":[0.007405892,0.0008396411,0.0003341957,0.001395974,0.0005128158,0.000821526,0.0006400915,0.0005022404,0.001078548],"category_scores_gemma":[0.03086234,0.0004401199,0.0009722455,0.001197796,0.0006979459,0.001728986,0.001189935,0.001173791,0.00007275506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009737325,"about_ca_system_score_gemma":0.001068002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008659646,"about_ca_topic_score_gemma":0.003248274,"domain_scores_codex":[0.9966503,0.001027436,0.0001960972,0.0003099014,0.001568177,0.0002480211],"domain_scores_gemma":[0.971094,0.02094549,0.002674724,0.001847559,0.003230084,0.0002082095],"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":[0.0001992278,0.00008336384,0.02116669,0.0001353914,0.0001920821,0.0003005651,0.0001723554,0.8983112,0.005722998,0.009995418,0.0004487124,0.06327201],"study_design_scores_gemma":[0.000007366005,0.00005670609,0.009379233,0.00002358916,0.00006165598,0.00003732107,0.00004365939,0.9794124,0.006515736,0.003943743,0.0004933238,0.00002532457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4168818,0.0007283228,0.5758287,0.0004587102,0.00008452734,0.0001424003,0.0004032119,0.0005432119,0.004929108],"genre_scores_gemma":[0.9650075,0.000354565,0.03371496,0.00005335593,0.00003798219,0.00006814416,0.00024873,0.00009140724,0.0004233793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008659646,"threshold_uncertainty_score":0.03916657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031979125970848,"score_gpt":0.2314624601394514,"score_spread":0.221142668879743,"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."}}