{"id":"W7055379972","doi":"","title":"The Collingwood terminals: an adaptive reuse approach to heritage buildings","year":2023,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptive reuse; Reuse; Adaptation (eye); Tourism; Architecture; Architectural style","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":[0.001582707,0.0004347811,0.0001720066,0.00134667,0.01174311,0.00645502,0.001810015,0.001448859,0.005173505],"category_scores_gemma":[0.002166574,0.0002315669,0.0002453943,0.001714975,0.03914373,0.002704031,0.002740714,0.002157853,0.0004634568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04711151,"about_ca_system_score_gemma":0.02389894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6350963,"about_ca_topic_score_gemma":0.8486311,"domain_scores_codex":[0.9982108,0.0006096172,0.00004210717,0.0002055465,0.0006445353,0.0002874212],"domain_scores_gemma":[0.9988907,0.0003246313,0.000094884,0.000224385,0.0003298079,0.0001355854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001160832,0.000006707849,0.001035917,0.00005029727,0.000002839694,0.0001945583,0.07352587,0.0005459238,0.0002680103,0.896268,0.008557396,0.01953281],"study_design_scores_gemma":[0.000006217714,0.00001751571,0.003567982,0.0001895527,0.000009313479,0.0003314459,0.05727841,0.0007533572,0.000474435,0.06918143,0.8681686,0.00002177188],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1096769,0.004438171,0.04597432,0.03975355,0.0004387782,0.0001285255,0.0001414272,0.0002075393,0.7992408],"genre_scores_gemma":[0.8987432,0.001715288,0.007666107,0.000923248,0.00006633137,0.00005100024,0.00003540069,0.0000997472,0.09069976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6350963,"threshold_uncertainty_score":0.7341055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162603654719727,"score_gpt":0.2412645240791242,"score_spread":0.2250041586071515,"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."}}