{"id":"W3082950501","doi":"","title":"Validating Stormwater system simulations in Edmonton Using MIKE URBAN","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Environmental science; Computer science; Civil engineering; Hydrology (agriculture); Engineering; Surface runoff; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001155762,0.0008564378,0.0005040714,0.000397454,0.001268276,0.0008800627,0.001533251,0.0009295403,0.008243482],"category_scores_gemma":[0.001706738,0.0008471471,0.0007355749,0.0004050276,0.0006403316,0.0008837424,0.001024093,0.001119411,0.0008901118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018838,"about_ca_system_score_gemma":0.003741014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2211383,"about_ca_topic_score_gemma":0.3556747,"domain_scores_codex":[0.9996113,0.00008764431,0.00001823588,0.00006565721,0.0001072947,0.0001099779],"domain_scores_gemma":[0.9991002,0.000391393,0.00003289151,0.0001372689,0.0002444232,0.00009384387],"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":[0.0001941867,0.0003572225,0.008760862,0.00006573345,0.00005453508,0.0002041061,0.0002692946,0.9636491,0.003331363,0.002425938,0.007980002,0.01270768],"study_design_scores_gemma":[0.00009161852,0.00005734291,0.001933149,0.00001148258,0.00001301937,0.0000122768,0.0001416949,0.9900413,0.002742999,0.0003774437,0.00455717,0.00002053285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191715,0.0001083387,0.02338343,0.0004934849,0.0002020381,0.0001726613,0.003409176,0.004865276,0.04819403],"genre_scores_gemma":[0.9366251,0.00008638703,0.04789668,0.0001461674,0.00001889527,0.0001864283,0.004227818,0.0009736247,0.009839001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7788616,"threshold_uncertainty_score":0.4397023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554991653169316,"score_gpt":0.2369506772437734,"score_spread":0.2114007607120802,"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."}}