{"id":"W3209454876","doi":"10.1515/9783110597820-006","title":"Chapter 6 Green roofs: 10 years after City of Toronto Green Roof Bylaw","year":2021,"lang":"en","type":"book-chapter","venue":"Green Chemistry","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Urbanization; Plan (archaeology); Green roof; Population; Geography; Environmental planning; Urban planning; Climate change; Green infrastructure; Political science; Economic growth; Civil engineering; Roof; Public administration; Engineering; Sociology; Archaeology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001321627,0.0004896428,0.0005390815,0.00001239613,0.00004651224,0.00002047593,0.0004727212,0.0006571402,0.1469332],"category_scores_gemma":[0.000008827576,0.0005395167,0.0003160399,0.00002574231,0.0003304995,0.0002047931,0.0005561178,0.0003475425,0.0005317793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681764,"about_ca_system_score_gemma":0.0000365593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004373,"about_ca_topic_score_gemma":0.006880507,"domain_scores_codex":[0.9975226,0.00001103991,0.0005383767,0.0008187059,0.0007315499,0.0003777054],"domain_scores_gemma":[0.9984509,0.00002945982,0.0002862864,0.0009675553,0.00004078216,0.0002250229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001470381,0.0009487222,0.1176967,0.005141065,0.002866735,0.003578299,0.006850549,0.0000308187,0.2613184,0.002547532,0.05723401,0.5403168],"study_design_scores_gemma":[0.001390407,0.0001452781,0.0327446,0.0008045618,0.0004517432,0.0001234986,0.00003939973,0.00004689172,0.03378577,0.004886441,0.9230273,0.002554165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05533146,0.001697418,0.00001330075,0.0001398739,0.0001079132,0.0002845014,0.0004270177,0.0000703129,0.9419282],"genre_scores_gemma":[0.09576193,0.0001107151,0.0002088295,0.0001388721,0.0003981405,0.00002582483,0.0002647281,0.00009365349,0.9029973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8657932,"threshold_uncertainty_score":0.9997056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031670615751025,"score_gpt":0.1952891689586498,"score_spread":0.1849724628011395,"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."}}