{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006312768,0.00007379683,0.00007153783,0.00003131802,0.0005618529,0.0001027466,0.0003542041,0.0000829412,0.0003233817],"category_scores_gemma":[0.0001042859,0.00005703431,0.00003871963,0.0002531369,0.0001333873,0.0001313809,0.00001004843,0.0001136958,0.000102413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004213488,"about_ca_system_score_gemma":0.0003338737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812628,"about_ca_topic_score_gemma":0.9994355,"domain_scores_codex":[0.9989712,0.00009634312,0.0001287774,0.0001656477,0.0002614547,0.0003766342],"domain_scores_gemma":[0.9995019,0.00003540043,0.00005580025,0.0002413115,0.00003224084,0.0001333712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002062074,0.000083673,0.3771124,0.000005874479,0.00004477934,0.00002104948,0.3381082,0.0009969824,0.00001767492,0.2575878,0.02262633,0.003374582],"study_design_scores_gemma":[0.0003018524,0.000007788653,0.3581547,0.00001587508,0.000008300762,2.646007e-7,0.01348482,0.00001010959,0.000003769822,0.00112567,0.6267232,0.0001636563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4661226,0.001156707,0.00009738662,0.008458966,0.0003096712,0.0004080445,0.00001474017,0.00008590148,0.523346],"genre_scores_gemma":[0.9776238,0.00006816258,0.0002768688,0.0009399093,0.00007569283,0.00001503647,0.000005615204,0.000005950474,0.02098892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6040968,"threshold_uncertainty_score":0.4321375,"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."}}