{"id":"W2309140248","doi":"10.14796/jwmm.r245-19","title":"Reformatting and Post Processing Tools for SWMM5","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Combined sewer; Control (management); Environmental science; Environmental planning; Engineering; Computer science; Artificial intelligence; Sociology","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":[0.001095858,0.000126218,0.0001452976,0.0001129555,0.000231924,0.0001473953,0.0001912672,0.00002734369,0.00005758756],"category_scores_gemma":[0.00001134724,0.00008606216,0.00006762818,0.00006094029,0.00002975568,0.00281741,0.0003317842,0.00009064174,0.0000296342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573913,"about_ca_system_score_gemma":0.000001578866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006708987,"about_ca_topic_score_gemma":0.000001150981,"domain_scores_codex":[0.9986686,0.00001791719,0.0004339545,0.0001167912,0.0002785122,0.0004842491],"domain_scores_gemma":[0.9995927,0.00001012427,0.0001447423,0.0001121818,0.00002600346,0.0001142476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000637276,0.001189042,0.04049014,0.002132768,0.0009742482,0.00005478439,0.03565687,0.3776128,0.04639015,0.002478029,0.01016924,0.4822146],"study_design_scores_gemma":[0.005494994,0.0005781053,0.01258464,0.0006799207,0.001548502,0.000268047,0.01204328,0.8123685,0.00479948,0.006375278,0.141374,0.001885275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7204803,0.0001231148,0.2723412,0.0008923491,0.0002182147,0.0003246168,0.000001200949,0.00002507816,0.005593999],"genre_scores_gemma":[0.9671952,0.00002055471,0.03171648,0.0003184726,0.0001388649,0.000009829449,0.000003133451,0.00001811057,0.0005793392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4803293,"threshold_uncertainty_score":0.3509513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154763465127389,"score_gpt":0.2398590885177987,"score_spread":0.2083114538665248,"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."}}