{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002067827,0.000128177,0.0001665483,0.00006976159,0.0002313891,0.0001415287,0.0002805276,0.00002745371,0.00006699813],"category_scores_gemma":[0.0001144521,0.00009611882,0.00005702206,0.00004344812,0.000036551,0.0003079669,0.0001955993,0.0001858899,0.000002289284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005431756,"about_ca_system_score_gemma":0.00002486913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005197677,"about_ca_topic_score_gemma":0.006869479,"domain_scores_codex":[0.9991485,0.00002659381,0.0003013952,0.0001743127,0.0001310875,0.0002181228],"domain_scores_gemma":[0.9995077,0.0001453224,0.0001648031,0.0001274057,0.0000346171,0.00002019894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003753884,0.00003357777,0.05358535,0.0002340434,0.00007979444,0.0000223071,0.9210001,0.001987531,0.0001847373,0.01559718,0.005239219,0.001660792],"study_design_scores_gemma":[0.00261432,0.0009532087,0.03110385,0.002600221,0.000153717,0.000003139793,0.08687595,0.03159379,0.001260637,0.006252669,0.8355762,0.001012238],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985444,0.000148757,0.0001411758,0.001756709,0.00008102161,0.0005679754,0.0000128748,0.00004733052,0.01180015],"genre_scores_gemma":[0.9969717,4.069497e-7,0.0005013802,0.0006241796,0.0005207522,0.00003288756,0.00002902188,0.00001544096,0.001304231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8341241,"threshold_uncertainty_score":0.7857367,"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."}}