{"id":"W4387024298","doi":"10.3390/su151914146","title":"Building Urban Resilience with Nature-Based Solutions: A Multi-Scale Case Study of the Atmospheric Cleansing Potential of Green Infrastructure in Southern Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hope Foundation","keywords":"Green infrastructure; Environmental science; Urbanization; Neighbourhood (mathematics); Environmental resource management; Scale (ratio); Environmental planning; Environmental engineering; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005259344,0.0004835466,0.0003168544,0.0006261718,0.005473587,0.00143565,0.001154954,0.0007095775,0.001133611],"category_scores_gemma":[0.001083887,0.000218829,0.000393975,0.001736381,0.002204166,0.0004471894,0.001234952,0.0004925273,0.0000933226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0453326,"about_ca_system_score_gemma":0.02779038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890279,"about_ca_topic_score_gemma":0.9972203,"domain_scores_codex":[0.9992331,0.0001365937,0.00001607395,0.00005964098,0.0001917308,0.0003627584],"domain_scores_gemma":[0.9993215,0.000116807,0.00006570054,0.00004374981,0.0002520232,0.0002001646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001477024,0.002143982,0.6079216,0.00103214,0.0005176287,0.0366368,0.06479443,0.1370088,0.0189517,0.01537095,0.01597933,0.09816563],"study_design_scores_gemma":[0.0002355691,0.0009264991,0.7012517,0.0002422528,0.0002306691,0.001184643,0.1956221,0.05111881,0.00346754,0.002081898,0.04343963,0.0001987422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922483,0.0001115018,0.0004478745,0.0003727169,0.000004882409,0.0001372049,0.0003050783,0.00001544401,0.006357044],"genre_scores_gemma":[0.9967356,0.000185888,0.0007355367,0.00005062986,0.000002117097,0.00003578115,0.0001334948,0.000006151444,0.002114796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0453326,"threshold_uncertainty_score":0.3289126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005514379853119388,"score_gpt":0.2282792683848361,"score_spread":0.2227648885317167,"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."}}