{"id":"W6904670469","doi":"10.14288/1.0442342","title":"Rain Down the Drain : UBC Vancouver Green Rainwater Infrastructure Performance Monitoring and Future Weather Event Modelling","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Green infrastructure; Rainwater harvesting; Stormwater; Surface runoff; Flooding (psychology); Urban heat island; Climate change; Swale; Climate resilience","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":[0.0004307722,0.0006524517,0.0004096055,0.0005643666,0.0008336632,0.001935215,0.0009621828,0.0007888156,0.003580527],"category_scores_gemma":[0.001406307,0.0003748926,0.0004056488,0.001087052,0.0003070181,0.0005792503,0.000663133,0.001153949,0.0009382152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003439354,"about_ca_system_score_gemma":0.00358043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7645466,"about_ca_topic_score_gemma":0.8132147,"domain_scores_codex":[0.9997318,0.00003439348,0.00001113206,0.00006432053,0.00009801296,0.00006033971],"domain_scores_gemma":[0.9992905,0.0001293625,0.00003716765,0.00005618312,0.0003546192,0.0001322087],"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":[0.0004285708,0.0004683376,0.1180546,0.0001268649,0.0001004355,0.0004034571,0.0002951993,0.8070844,0.001813678,0.001614684,0.0326984,0.03691134],"study_design_scores_gemma":[0.0000586172,0.000036401,0.02866795,0.00002279664,0.0000151318,0.00001963091,0.0002942095,0.9634281,0.0006381922,0.000387678,0.006408982,0.00002238821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912022,0.0001960272,0.009762635,0.001054853,0.0001262403,0.0003369432,0.03069469,0.001724478,0.04408215],"genre_scores_gemma":[0.9564117,0.0002245366,0.009817054,0.00009736839,0.00002155437,0.000132593,0.02273888,0.0001501997,0.0104062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2354534,"threshold_uncertainty_score":0.4736801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004806028644570304,"score_gpt":0.154573501928899,"score_spread":0.1497674732843287,"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."}}