{"id":"W3124505295","doi":"","title":"EXPLORING THE DIVERSITY AND HEALTH OF URBAN STREET TREES. THE CASE OF THE CITY OF BRAMPTON","year":2020,"lang":"en","type":"article","venue":"TSpace","topic":"Urban Development and Cultural Heritage","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Diversity (politics); Geography; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478648,0.0001312355,0.0001247993,0.001397889,0.0005172744,0.0005725894,0.0003175857,0.0002010546,0.0009282446],"category_scores_gemma":[0.0004189205,0.0001464402,0.0001515441,0.00172679,0.0003573426,0.0003625721,0.0006120976,0.0002285252,0.0001435138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942288,"about_ca_system_score_gemma":0.0003810902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0587027,"about_ca_topic_score_gemma":0.2356318,"domain_scores_codex":[0.9998717,0.00003139611,0.000006109927,0.00002124797,0.00003751145,0.00003193971],"domain_scores_gemma":[0.9997248,0.00005533338,0.00008697843,0.00001724748,0.00006578569,0.00004980876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000079185,0.00008338404,0.9514352,0.0001254636,0.00004275924,0.002200657,0.01036587,0.0005878889,0.002661021,0.0004980083,0.0007332395,0.03118729],"study_design_scores_gemma":[7.826677e-7,0.00003255611,0.9914677,0.00001406233,0.0000084279,0.0003133276,0.006820206,0.0002958657,0.0001284831,0.00005123026,0.0008627671,0.000004618249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986328,0.0001263822,0.0001103683,0.0000415892,0.000001762232,0.00001063022,0.0001857514,0.000001641113,0.0008890498],"genre_scores_gemma":[0.998547,0.0001563521,0.000438473,0.00001082693,0.000002333613,0.0000114208,0.000198085,0.000001197604,0.0006342191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9412973,"threshold_uncertainty_score":0.116722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303287042523381,"score_gpt":0.3291517998526344,"score_spread":0.09882309560029628,"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."}}