{"id":"W1965555565","doi":"10.1080/02626667.2011.586350","title":"Model structure and uncertainty for stochastic non-point source modelling applications","year":2011,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stochastic modelling; Scale (ratio); Uncertainty analysis; Range (aeronautics); Computer science; Uncertainty quantification; Set (abstract data type); Point (geometry); Sensitivity (control systems); Mathematics; Mathematical optimization; Statistical physics; Statistics; Simulation; Engineering; Physics","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":[0.005422984,0.0005587015,0.0007930993,0.0007963591,0.0006478806,0.001770591,0.001520275,0.001172661,0.001102027],"category_scores_gemma":[0.02366633,0.000485765,0.0006999629,0.000974377,0.001092606,0.001880296,0.001554117,0.001517451,0.000152823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572405,"about_ca_system_score_gemma":0.00176744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491513,"about_ca_topic_score_gemma":0.006385637,"domain_scores_codex":[0.997789,0.001111891,0.0001112184,0.0001926892,0.0007092708,0.00008593671],"domain_scores_gemma":[0.9893845,0.008633357,0.0007385724,0.0005702676,0.0005822642,0.00009103655],"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":[0.00001209669,0.00001195698,0.0007494101,0.00002563966,0.00001010612,0.00002890629,0.00003954927,0.9730964,0.0004306629,0.02001833,0.00009788894,0.005479007],"study_design_scores_gemma":[0.00000345631,0.00001099579,0.0002382884,0.000006620417,0.000004319568,0.000009572876,0.00001304525,0.9776132,0.0002807261,0.02150216,0.0003127109,0.000005064971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03951188,0.00009963058,0.9579079,0.0004364736,0.00001067185,0.00006154463,0.0001112556,0.0001861626,0.001674527],"genre_scores_gemma":[0.8225389,0.0002331477,0.1758604,0.00007345488,0.0000371397,0.0002584902,0.0002709943,0.00009992302,0.0006274555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005422984,"threshold_uncertainty_score":0.02867979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549257801607413,"score_gpt":0.245245280524584,"score_spread":0.1997527025085098,"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."}}