{"id":"W2263648542","doi":"10.14796/jwmm.r227-14","title":"Comprehensive ArcGIS-Based Urban Drainage Modeling for Decision Support","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coquitlam College","funders":"","keywords":"Drainage; Drainage network; Decision support system; Drainage system (geomorphology); Computer science; Environmental science; Civil engineering; Water resource management; Engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551254,0.0006642517,0.0004337632,0.001241719,0.0004045902,0.001277374,0.001025267,0.0003501955,0.02279649],"category_scores_gemma":[0.001669522,0.0004618429,0.0005343446,0.002745698,0.000175527,0.001364242,0.0008081067,0.0005193868,0.008221745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646744,"about_ca_system_score_gemma":0.00161405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007600455,"about_ca_topic_score_gemma":0.008923959,"domain_scores_codex":[0.999675,0.00007805177,0.00003051361,0.00004305982,0.0001549485,0.00001847758],"domain_scores_gemma":[0.9995858,0.0001017597,0.00002775574,0.00008477954,0.0001795432,0.00002029809],"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":[0.00009200773,0.0001219886,0.003133679,0.0003930002,0.0001128039,0.0001912997,0.0004175115,0.2642636,0.003901846,0.07918075,0.2951434,0.3530482],"study_design_scores_gemma":[0.00006470837,0.00002877721,0.001759636,0.0000871735,0.00003239161,0.0001188886,0.0001685982,0.4798507,0.003868395,0.03575962,0.4782164,0.00004481016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008821996,0.0002965206,0.8707775,0.0007847051,0.0001403682,0.0004306673,0.03305267,0.03582062,0.04987488],"genre_scores_gemma":[0.1242078,0.001038774,0.7908448,0.0002622338,0.00005180301,0.001343903,0.05519645,0.00326985,0.02378433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02279649,"threshold_uncertainty_score":0.07626182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177550394468329,"score_gpt":0.2627931168959497,"score_spread":0.2310176129512664,"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."}}