{"id":"W2599507543","doi":"","title":"Telling tales: implementing effective stormwater mangement to green the urban realm","year":2016,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Realm; Stormwater; Stormwater management; Environmental planning; Geography; Water resource management; Archaeology; Environmental science; Surface runoff","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":[0.002203671,0.0004535589,0.0001778511,0.0006459853,0.002788261,0.003218503,0.001122033,0.001355996,0.006746015],"category_scores_gemma":[0.003517856,0.0001897764,0.0002177216,0.0005096384,0.001677573,0.0025798,0.00321275,0.001567815,0.0009974483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261538,"about_ca_system_score_gemma":0.009912822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003576,"about_ca_topic_score_gemma":0.04228498,"domain_scores_codex":[0.9986093,0.0004652916,0.00004228659,0.0000906068,0.0004597993,0.0003327094],"domain_scores_gemma":[0.998264,0.0003107752,0.0001391926,0.0001206845,0.0003466266,0.0008186126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001222289,0.001593791,0.006270515,0.0007743827,0.00004941845,0.0005479337,0.0112769,0.01172333,0.008284728,0.03396492,0.07729174,0.8481002],"study_design_scores_gemma":[0.0001976985,0.002081717,0.02968132,0.001137394,0.0001460811,0.0004034549,0.07563347,0.03111892,0.02450775,0.08867639,0.7462541,0.0001617742],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2984225,0.002617972,0.1910141,0.1109215,0.00133844,0.003644212,0.0002521846,0.005546679,0.3862424],"genre_scores_gemma":[0.8171485,0.002359627,0.1196715,0.005716351,0.00014622,0.0004775188,0.0001455798,0.0002142672,0.05412051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003576,"threshold_uncertainty_score":0.02256769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227246567062229,"score_gpt":0.2086158614454862,"score_spread":0.196343395774864,"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."}}