{"id":"W2558544726","doi":"","title":"Adaptive Reuse of Office Space to Residential Units in Kingston Ontario","year":2011,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adaptive reuse; Reuse; Space (punctuation); Architectural engineering; Geography; Computer science; Engineering; Waste management","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":[0.000525261,0.0001659875,0.0003824071,0.0006803258,0.006571144,0.002218856,0.001607581,0.00059556,0.005076305],"category_scores_gemma":[0.002488625,0.0003634589,0.0003227985,0.001770249,0.001970306,0.0006698103,0.00218786,0.0005707736,0.0006346956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03632393,"about_ca_system_score_gemma":0.02967547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843476,"about_ca_topic_score_gemma":0.9980661,"domain_scores_codex":[0.9990807,0.0001491594,0.00002889489,0.0001574096,0.0002181847,0.0003655868],"domain_scores_gemma":[0.9981247,0.0002504162,0.0001972425,0.0001230437,0.0006828877,0.0006217046],"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":[0.001151753,0.0005950406,0.6874406,0.0002336167,0.0001386798,0.002009017,0.1779265,0.003862412,0.006183033,0.005058614,0.01063249,0.1047682],"study_design_scores_gemma":[0.00002084563,0.0001171366,0.9098973,0.00004998884,0.00002216687,0.00008139931,0.07152668,0.001536465,0.00036901,0.0003092165,0.0160291,0.00004070748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933514,0.00007320469,0.0001641445,0.0002302929,0.000005718718,0.00002779949,0.0001513579,0.00001465844,0.005981463],"genre_scores_gemma":[0.9900541,0.00008388259,0.0002890776,0.00003999012,0.000002337247,0.00001267291,0.0001044633,0.0000105984,0.009402776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632393,"threshold_uncertainty_score":0.2635498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164847751688005,"score_gpt":0.1974976229304901,"score_spread":0.17584914541361,"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."}}