{"id":"W3161035279","doi":"10.1088/1757-899x/989/1/012001","title":"Status of building information modelling (BIM) in construction practice-UK context","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Anglia Ruskin University","keywords":"Building information modeling; Construction industry; Context (archaeology); Process (computing); Business; Building construction; Construction engineering; Questionnaire; Process management; Knowledge management; Engineering management; Architectural engineering; Engineering; Operations management; Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046024,0.0001210406,0.0001763246,0.0001668201,0.00004865869,0.0001950825,0.0000905378,0.00005345747,0.00003440117],"category_scores_gemma":[0.0001827189,0.0001268631,0.000009775596,0.0003797125,0.0001533894,0.002723933,0.00002792327,0.0000883822,0.000002284993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005496478,"about_ca_system_score_gemma":0.00009184061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000883934,"about_ca_topic_score_gemma":0.000003589528,"domain_scores_codex":[0.9990669,0.000007570275,0.0003553532,0.0001197328,0.0001981966,0.0002521969],"domain_scores_gemma":[0.9995242,0.00001884438,0.00006646164,0.00007292801,0.0002198273,0.00009778277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003769091,0.000001926277,0.00006167806,0.0001891226,0.00000669988,7.74288e-7,0.002273441,0.1574989,0.7337317,0.08997315,0.00000384806,0.01622111],"study_design_scores_gemma":[0.0002583349,0.00005352438,0.0002086476,0.0001169552,0.000008282813,0.00002992925,0.004126677,0.3554098,0.6373027,0.0002415422,0.002016834,0.0002268082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918143,0.00007606082,0.1067081,0.0001192661,0.0005478663,0.0001194038,0.00001655334,0.000110787,0.000487657],"genre_scores_gemma":[0.9889081,0.00031993,0.0106894,0.00002979795,0.00003212174,0.00001042991,0.000003687597,0.000006152865,3.890657e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1979109,"threshold_uncertainty_score":0.5173326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174436461093593,"score_gpt":0.2103616547328817,"score_spread":0.1929180086235223,"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."}}