{"id":"W1970302586","doi":"10.1109/digitalheritage.2013.6743828","title":"Building Information Modelling and the documentation of architectural heritage: Between the ‘typical’ and the ‘specific’","year":2013,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Documentation; Building information modeling; Architectural engineering; Standardization; Computer science; Software; Dimension (graph theory); Civil engineering; Construction engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006074355,0.000604013,0.0003676523,0.003273267,0.002934307,0.01004387,0.001827409,0.001421739,0.009974045],"category_scores_gemma":[0.01003136,0.0007739006,0.0004048732,0.007314319,0.006263874,0.006999466,0.005163499,0.001982291,0.003506996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532351,"about_ca_system_score_gemma":0.01321324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3759995,"about_ca_topic_score_gemma":0.5488763,"domain_scores_codex":[0.9955355,0.0009314737,0.0001939457,0.000448555,0.002602352,0.000288171],"domain_scores_gemma":[0.9933475,0.001015035,0.0003614686,0.002317215,0.002451414,0.0005072353],"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":[0.0001112639,0.00007393053,0.005493583,0.000339153,0.00002491721,0.0003765505,0.0109118,0.006685495,0.005332286,0.2046253,0.07820799,0.6878177],"study_design_scores_gemma":[0.000009700451,0.00002170175,0.005783504,0.0003613177,0.00001131192,0.0002540726,0.002483411,0.006785576,0.005335279,0.01762792,0.9612548,0.00007138861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0547705,0.01056423,0.5666192,0.03072554,0.001294737,0.0003447055,0.003581654,0.007244122,0.3248554],"genre_scores_gemma":[0.2900095,0.0128622,0.5061288,0.001595365,0.0005023119,0.0001707745,0.006437927,0.004651149,0.177642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3759995,"threshold_uncertainty_score":0.7476218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030220551887306,"score_gpt":0.2334209445578532,"score_spread":0.2031187390389802,"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."}}