{"id":"W2168757296","doi":"10.1002/eco.1308","title":"Coupling model uncertainty for coupled rainfall/runoff and surface water quality models in river problems","year":2012,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Calibration; Water balance; Watershed; Component (thermodynamics); Surface runoff; Hydrology (agriculture); Quality (philosophy); Water quality; Environmental science; Coupling (piping); Hydrological modelling; Computer science; Process (computing); Distributed element model; Surface water; Mathematics; Statistics; Machine learning; Geology; Environmental engineering","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":[0.007696161,0.0008706448,0.0009391253,0.001045316,0.0006147109,0.001682033,0.0009568854,0.001321246,0.0009052278],"category_scores_gemma":[0.01810906,0.0007124206,0.001042356,0.0006538106,0.001269438,0.001675832,0.003118769,0.001377188,0.00006643762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212998,"about_ca_system_score_gemma":0.001306224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204705,"about_ca_topic_score_gemma":0.008403043,"domain_scores_codex":[0.9977093,0.001561512,0.0001059535,0.0002084411,0.0002408947,0.0001739617],"domain_scores_gemma":[0.9921625,0.006515732,0.0005555215,0.000209577,0.00038522,0.000171393],"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":[0.00002166669,0.00001261884,0.0007760835,0.000005882356,0.00002200182,0.00001473466,0.00001989269,0.9966289,0.0001016329,0.001561498,0.00002243691,0.0008125462],"study_design_scores_gemma":[0.000007162343,0.00001641056,0.0002453863,0.000002425182,0.000007372025,0.00000205315,0.00001023952,0.9976116,0.00008388289,0.001977132,0.00003148511,0.000004793405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794114,0.000247301,0.2146767,0.0006522381,0.00003078141,0.0001596514,0.0001586385,0.0001710154,0.004492338],"genre_scores_gemma":[0.9932421,0.00004834363,0.006191172,0.00003185564,0.000007386861,0.00005728604,0.00004703731,0.00001716917,0.0003576959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0204705,"threshold_uncertainty_score":0.0407027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287585005211274,"score_gpt":0.2616369712449561,"score_spread":0.2287611211928433,"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."}}