{"id":"W7105811361","doi":"10.1007/978-3-031-97697-1_12","title":"Historic Building Information Modeling (HBIM) Supported Material Passport for Sustainable Urban Heritage Conservation: Case Study of Massawa, Eritrea","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Cultural heritage; Digitization; Industrial heritage; Demolition; Building information modeling; Cultural heritage management; Information system; Quality (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002534261,0.0004656805,0.0002267695,0.0006436863,0.0009342484,0.00179507,0.0008609798,0.0005118896,0.01430292],"category_scores_gemma":[0.00047453,0.0003059542,0.0005447395,0.001256123,0.0003256279,0.0008340215,0.001117826,0.0004095782,0.001963232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379977,"about_ca_system_score_gemma":0.001910734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1218188,"about_ca_topic_score_gemma":0.2736982,"domain_scores_codex":[0.9998636,0.00003233969,0.000005446923,0.000017932,0.00005975367,0.00002092947],"domain_scores_gemma":[0.9998679,0.00004573111,0.000007558025,0.00002892897,0.00003642027,0.00001345692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000185507,0.0001686913,0.01184249,0.0005055093,0.00006820653,0.001020179,0.003831746,0.3260055,0.005348563,0.06073793,0.04760906,0.5426767],"study_design_scores_gemma":[0.00002311755,0.0001098931,0.01384719,0.0003676996,0.0001179121,0.0005686758,0.004317993,0.4343091,0.008421084,0.009420415,0.5284188,0.00007804601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2762616,0.00151502,0.2862489,0.001625506,0.0002271237,0.0004461932,0.009497053,0.008482164,0.4156965],"genre_scores_gemma":[0.6696777,0.001373385,0.1942216,0.00008628443,0.00001746825,0.0002525233,0.007367458,0.001210769,0.1257928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1218188,"threshold_uncertainty_score":0.2422194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289927163236821,"score_gpt":0.2000714505407279,"score_spread":0.1871721789083597,"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."}}