{"id":"W2305119530","doi":"10.14796/jwmm.r225-13","title":"Identification of Significant Factors Affecting Stormwater Quality Using the National Stormwater Quality Database","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Identification (biology); Environmental science; Quality (philosophy); Database; Computer science; Surface runoff","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":[0.005103382,0.000257813,0.0003266037,0.0002418904,0.000376521,0.0001238697,0.0006326452,0.00005381721,0.0001962045],"category_scores_gemma":[0.00002869807,0.0001557958,0.0002361334,0.0002196409,0.0001406688,0.001167179,0.0005030284,0.0002391006,0.00002849505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006329427,"about_ca_system_score_gemma":0.000009640818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075571,"about_ca_topic_score_gemma":0.00005903511,"domain_scores_codex":[0.995582,0.0003491302,0.00173845,0.0003446482,0.001554041,0.0004317258],"domain_scores_gemma":[0.9984915,0.00005819237,0.0008680166,0.0003864783,0.0001306014,0.00006516003],"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":[0.00006012815,0.0002768757,0.0245104,0.0001055694,0.0001685254,0.000005551768,0.001372382,0.7082726,0.2641844,0.0003514062,0.0006255436,0.00006662938],"study_design_scores_gemma":[0.004578745,0.000227594,0.1530866,0.0003449149,0.001590802,0.00003346954,0.01154698,0.5289709,0.2799385,0.01389124,0.003317181,0.002472983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192033,0.00001300931,0.1793723,0.0001778805,0.0002782797,0.0003032425,0.000014526,0.00001987362,0.0006175712],"genre_scores_gemma":[0.9967075,0.000005394272,0.00240285,0.00005722163,0.0001409826,0.000004482634,0.00002589067,0.0000263792,0.0006293162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1793017,"threshold_uncertainty_score":0.6353168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08176606035953794,"score_gpt":0.3144748781653153,"score_spread":0.2327088178057774,"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."}}