{"id":"W4392908671","doi":"10.32920/25417378.v1","title":"Exploring Practitioner Responses to Green Gentrification in Toronto, Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Gentrification; Green infrastructure; Sociology; Environmental planning; Public relations; Political science; Geography; Economic growth; Economics","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":[0.009749819,0.0004484611,0.000421469,0.001741527,0.02010264,0.006022928,0.001825482,0.002378969,0.002915229],"category_scores_gemma":[0.01839104,0.000468924,0.0002824003,0.004125005,0.01054607,0.001904802,0.004892641,0.003155699,0.0001817171],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1613529,"about_ca_system_score_gemma":0.1802804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9711929,"about_ca_topic_score_gemma":0.9891242,"domain_scores_codex":[0.9907489,0.004127366,0.0002694619,0.0006287363,0.002110551,0.002114917],"domain_scores_gemma":[0.977216,0.01088422,0.001230218,0.0003856854,0.006351095,0.003932809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002895301,0.00001799984,0.00627389,0.00016277,0.000005776808,0.001024423,0.9793541,0.000224532,0.000804702,0.002766174,0.002950418,0.006386269],"study_design_scores_gemma":[0.000003334078,0.00002026051,0.004689634,0.00017204,0.000005810421,0.00006573521,0.960319,0.0002309739,0.0002104446,0.0002661614,0.03399414,0.00002245583],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383862,0.00262414,0.002587189,0.02624784,0.0002069406,0.0001932163,0.0002367032,0.00005591476,0.02946183],"genre_scores_gemma":[0.9857715,0.001751903,0.001005923,0.001736802,0.00001353953,0.00005915111,0.00006775022,0.0000294756,0.009563937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613529,"threshold_uncertainty_score":0.9727118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08860090605766707,"score_gpt":0.3007347831858982,"score_spread":0.2121338771282311,"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."}}