{"id":"W2338836803","doi":"","title":"Report on the Environmental Benefits and Costs of Green Roof Technology for the City of Toronto","year":2005,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Green roof; Amenity; Stormwater; Work (physics); Green infrastructure; Environmental planning; Business; Urban heat island; Cost–benefit analysis; Combined sewer; Environmental economics; Air quality index; Transport engineering; Natural resource economics; Roof; Environmental resource management; Environmental science; Civil engineering; Geography; Engineering; Economics; Surface runoff; Finance","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":[0.0003111769,0.0003290102,0.0001690348,0.001210686,0.001036452,0.001742017,0.0002974788,0.0003307119,0.01419113],"category_scores_gemma":[0.001008993,0.0001525013,0.0004316796,0.00250754,0.0001937072,0.0003783615,0.0005387597,0.0003478971,0.000837222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02030174,"about_ca_system_score_gemma":0.01473459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8977375,"about_ca_topic_score_gemma":0.9505931,"domain_scores_codex":[0.9990368,0.00005133045,0.00002389424,0.00002994456,0.0007294127,0.0001285537],"domain_scores_gemma":[0.9989505,0.0001177954,0.00009010454,0.00003333903,0.0006727836,0.0001354111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00110295,0.0002031771,0.1968865,0.002492461,0.0004986465,0.002924027,0.004645397,0.02197816,0.01162879,0.02162855,0.4901249,0.2458864],"study_design_scores_gemma":[0.00004534626,0.0001401634,0.5992327,0.0001969025,0.0002594746,0.000295945,0.009507712,0.003154315,0.005643584,0.0006318368,0.3808187,0.00007328283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6001099,0.005546579,0.002223537,0.006349591,0.0003789557,0.0004415719,0.144762,0.0003522862,0.2398356],"genre_scores_gemma":[0.7988054,0.006340533,0.003243929,0.0002877972,0.00008414485,0.0001695913,0.04178105,0.00009685881,0.1491907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1022625,"threshold_uncertainty_score":0.2057294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160254440158002,"score_gpt":0.2007215914597026,"score_spread":0.1846961474439024,"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."}}