{"id":"W6986553014","doi":"","title":"Preserving old buildings : adaptive use for residential purposes in Montreal","year":2002,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Order (exchange); Work (physics); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003498051,0.0002584137,0.0003060622,0.0001435092,0.00008842984,0.0003332645,0.000882624,0.0005658362,0.000368439],"category_scores_gemma":[0.0006341214,0.000247949,0.0001261599,0.00009944044,0.00005906801,0.00002084939,0.000318724,0.0002103075,0.00004577624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003104696,"about_ca_system_score_gemma":0.0001670497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272814,"about_ca_topic_score_gemma":0.02246996,"domain_scores_codex":[0.9981871,0.00004543101,0.0004741178,0.0005130104,0.000325113,0.0004552656],"domain_scores_gemma":[0.9989983,0.00005184246,0.0001930254,0.000381829,0.0002231783,0.0001518128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004750579,0.0006407853,0.001221423,0.0005189566,0.0004838063,0.00004561323,0.00368619,0.00005548118,0.1703504,0.00001266829,0.0878923,0.7303418],"study_design_scores_gemma":[0.005590423,0.002754568,0.02292649,0.0009620999,0.0002120964,0.00001102924,0.004990686,0.002172615,0.4828591,0.0003582116,0.4753331,0.001829574],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9835636,0.0005272732,0.0001050196,0.00007524137,0.0003542723,0.001981378,0.0003058262,0.000001108488,0.01308625],"genre_scores_gemma":[0.4477993,0.002798395,0.03023104,0.0001224235,0.001097071,0.0005625643,0.01186853,0.000144844,0.5053759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7285122,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487566602638,"score_gpt":0.3321756385805565,"score_spread":0.2872999725541766,"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."}}