{"id":"W3091200922","doi":"10.17645/up.v5i3.3188","title":"Promoting Adaptive Reuse in Ontario: A Planning Policy Tool for Making the Best of Manufacturing Decline","year":2020,"lang":"en","type":"article","venue":"Urban Planning","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; University of Oxford","keywords":"Adaptive reuse; Brownfield; Reuse; Redevelopment; Business; Demolition; Flexibility (engineering); Recreation; Environmental planning; Architectural engineering; Engineering; Civil engineering; Political science; Economics; Management; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003431425,0.0003833981,0.000325268,0.001544812,0.01576474,0.005778427,0.002435583,0.002219256,0.007388812],"category_scores_gemma":[0.0086528,0.0006134283,0.0004737565,0.003342073,0.004332629,0.002190678,0.00351246,0.001787605,0.0004670873],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1943626,"about_ca_system_score_gemma":0.4359654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956473,"about_ca_topic_score_gemma":0.9987791,"domain_scores_codex":[0.9959258,0.0005435682,0.0001526629,0.0002037779,0.001746089,0.001428145],"domain_scores_gemma":[0.9901899,0.001474164,0.0005610453,0.0003261202,0.004640129,0.002808691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003502937,0.0003208898,0.08541173,0.001448347,0.0001549375,0.004951014,0.0877808,0.01245534,0.0053957,0.1877393,0.3710742,0.2429174],"study_design_scores_gemma":[0.0000853945,0.00009494754,0.07653248,0.0005761805,0.00007292277,0.0002220392,0.04992592,0.004463631,0.001065115,0.01274263,0.8540494,0.000169303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2382242,0.007922032,0.01486206,0.2496233,0.0007159854,0.001541806,0.002234681,0.0006988422,0.4841771],"genre_scores_gemma":[0.8254529,0.007179627,0.0215845,0.01242649,0.0001147952,0.0004582336,0.0008005733,0.0001741175,0.1318087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1943626,"threshold_uncertainty_score":0.9344252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1842046552764076,"score_gpt":0.2852124397874053,"score_spread":0.1010077845109978,"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."}}