{"id":"W7161755361","doi":"10.82308/30794","title":"Preserving old buildings : adaptive use for residential purposes in Montreal","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Order (exchange); Adaptive strategies; Focus (optics); Phenomenon; Term (time); Dilemma; Best practice","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":[0.0005973058,0.000266845,0.000112739,0.000584,0.006788646,0.002116544,0.0009286804,0.0003546299,0.006591442],"category_scores_gemma":[0.001081315,0.0001607022,0.0001336931,0.002039827,0.00549292,0.001099932,0.001513308,0.0006472563,0.0002357365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02534127,"about_ca_system_score_gemma":0.01356554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9151193,"about_ca_topic_score_gemma":0.9857518,"domain_scores_codex":[0.9995556,0.0001173476,0.000008251304,0.00006391544,0.0001451598,0.0001097435],"domain_scores_gemma":[0.9996637,0.0000583921,0.0000471102,0.00003237691,0.00008986068,0.0001086399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000158163,0.0001661459,0.05875232,0.0004404592,0.00004087041,0.003134764,0.5061795,0.002017316,0.01019129,0.111155,0.0331139,0.2746502],"study_design_scores_gemma":[0.00001725951,0.0001636631,0.3178147,0.0001691321,0.00004556831,0.0005254092,0.2048665,0.0008021155,0.003208757,0.002386082,0.4698966,0.0001042171],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8295293,0.002032322,0.001697598,0.003253358,0.00005396357,0.000130034,0.0003836008,0.00007221771,0.1628475],"genre_scores_gemma":[0.9572991,0.001379822,0.001466293,0.0001115212,0.00001186509,0.00002290683,0.00008610372,0.00002405732,0.03959835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08488065,"threshold_uncertainty_score":0.1838646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234821641080472,"score_gpt":0.2576013814743034,"score_spread":0.1341192173662563,"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."}}