{"id":"W4409074455","doi":"10.1061/jcrgei.creng-890","title":"Winter Snowpack Accumulation and Stormwater Water Quality Monitoring for Extensive Green Roof Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Cold Regions Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Snowpack; Green roof; Stormwater; Environmental science; Hydrology (agriculture); Stormwater management; Water quality; Snow; Roof; Environmental engineering; Water resource management; Geology; Geotechnical engineering; Surface runoff; Civil engineering; Engineering; Geomorphology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741739,0.00008222005,0.000149233,0.00008175265,0.00005325879,0.00003501989,0.00006753646,0.00005047831,0.000004707193],"category_scores_gemma":[0.00003470331,0.00005990898,0.00005374099,0.00005744301,0.00001764282,0.0002861844,0.00003541582,0.00009037614,0.000001870405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163195,"about_ca_system_score_gemma":0.000005100418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003173589,"about_ca_topic_score_gemma":0.00000372639,"domain_scores_codex":[0.9993444,0.00001725229,0.0002889696,0.00008776026,0.0001238075,0.0001378015],"domain_scores_gemma":[0.9996744,0.00007271545,0.00006894534,0.00008893984,0.00004593816,0.00004904952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001156625,0.00005338801,0.1102029,0.000291232,0.0001863502,0.00001412789,0.002228247,0.3061534,0.5738184,0.0007905477,0.004996529,0.001149071],"study_design_scores_gemma":[0.00449823,0.0004518705,0.5220432,0.001812189,0.0003685636,0.0001920861,0.0009792926,0.06744251,0.2653637,0.0007497913,0.1351431,0.0009555159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470046,0.0001557257,0.05148616,0.0004084793,0.0006303916,0.0002089634,0.000001401559,0.00001367653,0.00009061056],"genre_scores_gemma":[0.9978492,0.0000123918,0.0008474357,0.00001327961,0.0001511197,0.000009125766,7.029399e-7,0.000008264978,0.001108518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4118403,"threshold_uncertainty_score":0.2443017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831394958066479,"score_gpt":0.2804009573052265,"score_spread":0.2520870077245617,"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."}}