{"id":"W108216421","doi":"10.14796/jwmm.r220-15","title":"Nonparametric Statistical Tests Comparing First Flush and Composite Samples from the National Stormwater Quality Database","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alabama","keywords":"Nonparametric statistics; Environmental science; Stormwater; Statistics; Hydrology (agriculture); Computer science; Econometrics; Database; Mathematics; Surface runoff; Engineering; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077145,0.0001841524,0.0002329812,0.000126222,0.0003800483,0.0001835293,0.0004375605,0.00002828527,0.0001681677],"category_scores_gemma":[0.00002918764,0.0001142465,0.0000622919,0.0001478587,0.0001273795,0.0006449833,0.0007862052,0.0002200167,0.0000989571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919394,"about_ca_system_score_gemma":0.000004874899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090431,"about_ca_topic_score_gemma":0.0002893255,"domain_scores_codex":[0.9977818,0.00007602364,0.0006368351,0.0002798037,0.0009019087,0.0003236818],"domain_scores_gemma":[0.99938,0.0001093107,0.0001560313,0.0002070201,0.00003619685,0.0001114245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001020521,0.0002856653,0.07604095,0.00004317762,0.0002878521,0.00004431612,0.001365182,0.9160678,0.001552416,0.001431009,0.002370586,0.00040899],"study_design_scores_gemma":[0.008351577,0.0002307517,0.5473311,0.0004308181,0.0009930911,0.00007452671,0.001160661,0.3646969,0.0009659032,0.05950881,0.01478169,0.001474178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056974,0.00004400055,0.2919737,0.001186618,0.0001212016,0.0001764065,0.00002776734,0.00001718981,0.0007557223],"genre_scores_gemma":[0.9592156,0.00003809336,0.04011504,0.0004189311,0.00009398245,0.000005381374,0.00004191786,0.00001483346,0.0000562159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5513709,"threshold_uncertainty_score":0.4658836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07021413949741205,"score_gpt":0.2843813521857698,"score_spread":0.2141672126883577,"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."}}