{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005232241,0.0002124559,0.0002841502,0.00001942233,0.0001195086,0.0001734718,0.0002195647,0.0001619463,0.001251485],"category_scores_gemma":[0.00005297413,0.0002178318,0.00005942134,0.00004413012,0.00008656646,0.0006196189,0.002468929,0.000147477,0.000009397179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349151,"about_ca_system_score_gemma":0.00007791792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02172055,"about_ca_topic_score_gemma":0.07822088,"domain_scores_codex":[0.9982852,0.0000677721,0.0003975251,0.0006048797,0.0003015856,0.0003430668],"domain_scores_gemma":[0.9990876,0.00001394951,0.0003306905,0.0004324027,0.00003764686,0.00009775352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008681952,0.00009578535,0.6125714,0.0005179659,0.0000737536,0.00000142361,0.004310788,0.000009359501,0.01759286,0.0008322251,0.00009958248,0.3638862],"study_design_scores_gemma":[0.000244989,0.00003961154,0.9751621,0.0002097534,0.00003037464,0.00003822592,0.01188843,0.0001018361,0.008256201,0.001859857,0.001718149,0.0004505061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904977,0.001809414,0.00007619997,0.0003713754,0.0005885086,0.0004353146,0.000009083273,0.00005783864,0.006154543],"genre_scores_gemma":[0.9930496,0.0005316432,0.005919756,0.0000198885,0.0001519944,0.00008497948,0.00004316423,0.00002174377,0.0001772788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634357,"threshold_uncertainty_score":0.9996615,"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."}}