{"id":"W4235673815","doi":"10.22215/etd/2021-14508","title":"Blue Junction: Improving Spatial Experience Through Ecological Water Management at Carleton University","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Stormwater; Framing (construction); Sewage; Surface runoff; Wastewater; Rainwater harvesting; Water supply; Environmental science; Environmental engineering; Stormwater management; Environmental planning; Water resource management; Civil engineering; Engineering; Geography; Ecology","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":[0.001255221,0.000415367,0.0003088812,0.000689601,0.02068598,0.009250485,0.001082034,0.001151002,0.06092772],"category_scores_gemma":[0.001277813,0.0003433648,0.0002099407,0.000775571,0.00360851,0.002808744,0.006141159,0.002809209,0.006539271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01636603,"about_ca_system_score_gemma":0.02905824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1891458,"about_ca_topic_score_gemma":0.5991607,"domain_scores_codex":[0.9986247,0.0003741827,0.00001996207,0.0001537992,0.0004669823,0.0003602759],"domain_scores_gemma":[0.9982167,0.0001406989,0.00003913914,0.00006162508,0.0003940845,0.001147654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005038234,0.0002619882,0.002742835,0.0002319918,0.000007981,0.0005201316,0.08169606,0.0002890138,0.001787377,0.03555745,0.7615718,0.1152829],"study_design_scores_gemma":[0.000002563213,0.00003265591,0.001740088,0.0001365815,0.000004280734,0.00008321588,0.07173542,0.00008506898,0.0007861389,0.001645389,0.9237359,0.00001274108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07720261,0.005250573,0.002737046,0.06321172,0.001068449,0.0001418615,0.0004499501,0.0005757501,0.8493621],"genre_scores_gemma":[0.1401264,0.005226493,0.004250781,0.003609179,0.00006158446,0.0001032325,0.0001540063,0.0003403869,0.8461279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1891458,"threshold_uncertainty_score":0.3760897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043906792534055,"score_gpt":0.2024485929722827,"score_spread":0.1920095250469422,"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."}}