{"id":"W7095779923","doi":"","title":"Municipally managed gentrification in South Parkdale, Toronto." The Canadian Geographer 43","year":2004,"lang":"en","type":"article","venue":"","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Geographer; Disinvestment; Context (archaeology); Urbanism","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0004074257,0.0001431665,0.0001324598,0.00043276,0.01214863,0.002288394,0.0008173656,0.0006771061,0.004450139],"category_scores_gemma":[0.001120914,0.0002305204,0.0001250102,0.001207266,0.004401496,0.0004978127,0.002899312,0.0008435493,0.0001526974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05794349,"about_ca_system_score_gemma":0.07776023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9774121,"about_ca_topic_score_gemma":0.9971367,"domain_scores_codex":[0.9993783,0.00009036451,0.000009948815,0.00003944406,0.00008916917,0.0003926595],"domain_scores_gemma":[0.999201,0.00007306253,0.00008759747,0.00003646671,0.0001422132,0.0004596779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001848107,0.0001145762,0.2385468,0.0004467961,0.00007000781,0.00802455,0.3751686,0.00258248,0.004511663,0.1970694,0.0764846,0.09679585],"study_design_scores_gemma":[0.00001628019,0.00006795391,0.4186164,0.0001664259,0.00003109985,0.000588535,0.2801359,0.0006099426,0.0006855311,0.002067497,0.2969645,0.00004985649],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351761,0.002134205,0.0003050916,0.009478202,0.00008976909,0.00007128895,0.0003826645,0.00002740375,0.05233534],"genre_scores_gemma":[0.979659,0.0005720556,0.0001680304,0.000313315,0.000009185676,0.00001685783,0.00009265781,0.000007956001,0.01916099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05794349,"threshold_uncertainty_score":0.4204114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933541225250121,"score_gpt":0.2739873903826676,"score_spread":0.2446519781301663,"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."}}