{"id":"W4248633444","doi":"10.32920/ryerson.14655651","title":"Greening education : challenges and prospects of implementing green roofs across Toronto public schools","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Legislation; Incentive; Environmental planning; Green infrastructure; Business; Political science; Public administration; Economic growth; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003231896,0.0002289046,0.0002652973,0.001469499,0.006259488,0.005838305,0.001004206,0.000835419,0.005441226],"category_scores_gemma":[0.008772733,0.0003158468,0.0002350334,0.00399145,0.002785757,0.002360795,0.002567543,0.0009502949,0.0002816947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06833787,"about_ca_system_score_gemma":0.1083183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9647807,"about_ca_topic_score_gemma":0.9891108,"domain_scores_codex":[0.995852,0.0009287371,0.0001254393,0.0002208758,0.000997724,0.001875239],"domain_scores_gemma":[0.9912635,0.001768236,0.001122027,0.0004026814,0.002996899,0.002446762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656444,0.0003688064,0.4425178,0.001864368,0.000134729,0.002329922,0.2066157,0.008361657,0.003621331,0.07563856,0.03893839,0.2192432],"study_design_scores_gemma":[0.00002865255,0.0001284442,0.5570045,0.0008307215,0.00007366509,0.00007486197,0.3041885,0.001783824,0.0009431649,0.002413989,0.1324611,0.00006863748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324989,0.002057342,0.001066737,0.02541616,0.00006851777,0.0002079626,0.001160647,0.00004625374,0.03747751],"genre_scores_gemma":[0.9894315,0.001687259,0.001059052,0.0005511205,0.00001543467,0.00005952935,0.0002866446,0.00001230299,0.00689723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06833787,"threshold_uncertainty_score":0.4958283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603914887358044,"score_gpt":0.2816464595809027,"score_spread":0.2556073107073222,"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."}}