{"id":"W4249023776","doi":"10.32920/ryerson.14644659","title":"From community institution to condo conversion: adaptive reuse within neighbourhood gentrification in cities in Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"","keywords":"Gentrification; Neighbourhood (mathematics); Economic geography; Reuse; Institution; Geography; Sociology; Economic growth; Economics; Social science; Engineering","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":[0.0008068109,0.0001324598,0.0003385557,0.001338661,0.006042391,0.003061058,0.0009849004,0.0003922558,0.002919234],"category_scores_gemma":[0.002914182,0.0002341296,0.0002715044,0.00328643,0.006757031,0.00120246,0.004163652,0.0005254807,0.0000969776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02840152,"about_ca_system_score_gemma":0.01580818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.912688,"about_ca_topic_score_gemma":0.9812536,"domain_scores_codex":[0.9987916,0.000189678,0.00004025381,0.0001535629,0.0003075098,0.0005173695],"domain_scores_gemma":[0.998486,0.000244014,0.0003747367,0.0001806235,0.0003205409,0.0003941544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001998454,0.0000657565,0.5993243,0.0001404909,0.00004229531,0.00118082,0.3386395,0.0006022239,0.00148811,0.00604271,0.001238286,0.05103558],"study_design_scores_gemma":[0.000003877464,0.00002809611,0.7778314,0.00005637813,0.00001226737,0.0001127206,0.2115868,0.0002656186,0.0002255108,0.0004085962,0.009446407,0.00002236672],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956875,0.0001045743,0.0001147641,0.00012685,0.000002501881,0.00001438621,0.00005485184,0.000004491839,0.003890049],"genre_scores_gemma":[0.9986002,0.00006258765,0.00008047442,0.000007927556,7.102444e-7,0.000004314974,0.00003095428,0.000003134612,0.001209664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08731198,"threshold_uncertainty_score":0.2060685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1906054749101683,"score_gpt":0.2496366866524357,"score_spread":0.05903121174226733,"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."}}