{"id":"W4402198829","doi":"10.32920/26866609","title":"Understanding the Need for Multifunctional and Equitable Green Infrastructure Implementation in Toronto, ON","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Green infrastructure; Business; Environmental planning; 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":[0.0002959371,0.0001641463,0.000123071,0.0004399171,0.00344199,0.001967971,0.0004131404,0.0003595726,0.005098461],"category_scores_gemma":[0.001283555,0.0001680396,0.0001960379,0.001606704,0.001275756,0.0006701748,0.00140005,0.0003718651,0.0002693856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03637325,"about_ca_system_score_gemma":0.0336662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9663479,"about_ca_topic_score_gemma":0.9922298,"domain_scores_codex":[0.9996396,0.00007958276,0.00001064569,0.00003930738,0.00006975088,0.0001611008],"domain_scores_gemma":[0.9992849,0.0001177532,0.0001133516,0.0000234471,0.000143204,0.0003172854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002733285,0.0001445759,0.6306348,0.001402548,0.000120689,0.003494925,0.1468189,0.01002297,0.004632777,0.04612289,0.04582411,0.1105075],"study_design_scores_gemma":[0.00001216404,0.00006362818,0.7879536,0.0003785493,0.00005931063,0.000164287,0.159887,0.002051575,0.0004290061,0.002015042,0.04695516,0.00003062925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498895,0.001701715,0.0009465069,0.006196281,0.000044047,0.0000639577,0.00137535,0.00002795299,0.03975469],"genre_scores_gemma":[0.9950156,0.0007056005,0.0005542684,0.0001115589,0.000005106778,0.0000219148,0.0002162323,0.000005030232,0.003364803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03637325,"threshold_uncertainty_score":0.2639076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221192439094008,"score_gpt":0.4558957432260959,"score_spread":0.3337764993166951,"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."}}