{"id":"W1576335309","doi":"10.2166/wst.2001.0392","title":"Comparison of pollutant runoff in Lake Biwa tributaries, Japan and the brunette river watershed, Canada","year":2001,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Surface runoff; Tributary; Watershed; Environmental science; Pollutant; Hydrology (agriculture); Urban runoff; Storm; Nonpoint source pollution; Pollution; Stormwater; First flush; Water resource management; Geography; Geology; Meteorology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005559975,0.0001397522,0.0002462874,0.0002757855,0.000307257,0.00002861837,0.0009183197,0.00006416786,0.0002045171],"category_scores_gemma":[0.00002996377,0.00008152358,0.00001851614,0.001328447,0.006010231,0.0002537288,0.000939035,0.0001780951,0.00003109917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275679,"about_ca_system_score_gemma":0.00004211997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1881904,"about_ca_topic_score_gemma":0.7485853,"domain_scores_codex":[0.9981989,0.0000327938,0.0003173924,0.000402232,0.0003971831,0.0006514884],"domain_scores_gemma":[0.9993911,0.00001530259,0.00006756901,0.0004591267,0.00001100415,0.00005593598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003581208,0.0000533395,0.9751598,0.000002901262,0.000006317048,0.00001591801,0.002575059,0.0005341888,0.0174363,0.001345454,0.0007757079,0.002059247],"study_design_scores_gemma":[0.003727649,0.000240413,0.5108164,0.00002600463,0.00006138958,0.0001020071,0.002941117,0.01091206,0.08569117,0.008095296,0.3765991,0.0007874242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987675,0.00004273295,0.0002264094,0.01053403,0.0001178045,0.0002769318,0.000007660668,0.00004328021,0.001076139],"genre_scores_gemma":[0.9990187,0.0000110986,0.0002230902,0.0001989343,0.000004853946,0.00001818337,0.000002444283,0.000005625981,0.0005170978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5603949,"threshold_uncertainty_score":0.9966949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008340609877937328,"score_gpt":0.212504550037728,"score_spread":0.2041639401597907,"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."}}