{"id":"W7005452495","doi":"","title":"Removing sediment from urban stormwater runoff","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Surface runoff; Urban runoff; Hydrology (agriculture); Sediment; Water pollution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003636126,0.000593664,0.0004654118,0.0007200163,0.001373027,0.001387156,0.0004228695,0.0006701933,0.002422134],"category_scores_gemma":[0.0006952918,0.0001927629,0.0005323787,0.0006913426,0.0004497748,0.0003587159,0.0005068895,0.0005210506,0.0006090503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248685,"about_ca_system_score_gemma":0.002856347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282527,"about_ca_topic_score_gemma":0.3108154,"domain_scores_codex":[0.9996694,0.00003050023,0.0000221265,0.00006961633,0.0001126816,0.00009552229],"domain_scores_gemma":[0.9997032,0.00003241311,0.00004817018,0.00004007396,0.0001417617,0.00003426198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007103371,0.0003750099,0.03167232,0.000742765,0.0001834191,0.0007364459,0.0006976068,0.02651815,0.6644853,0.002169037,0.002903674,0.268806],"study_design_scores_gemma":[0.0002247018,0.00108936,0.111719,0.0001785036,0.0004010008,0.0003938231,0.001847975,0.03119239,0.7937171,0.001764599,0.05738761,0.00008387288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800576,0.0009292134,0.01267742,0.0005111846,0.00007915672,0.0001025796,0.0002817043,0.0002004112,0.005160687],"genre_scores_gemma":[0.9589201,0.001141037,0.02224571,0.0002598394,0.00002231367,0.00002702751,0.0003959678,0.0001096818,0.01687827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282527,"threshold_uncertainty_score":0.2550125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146137069979292,"score_gpt":0.1842888518086345,"score_spread":0.1628274811088416,"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."}}