{"id":"W4230082142","doi":"10.29173/mocs191","title":"The Impact of Building Information Modelling (BIM) for Contractor Costing in Offsite Construction Projects in the UK","year":2015,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Productivity; Status quo; Activity-based costing; Construction industry; Integrated project delivery; Construction management; Value (mathematics); Risk analysis (engineering); Building construction; Business; Construction engineering; Engineering management; Engineering; Operations management; Computer science; Marketing; Civil engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009719393,0.000377596,0.000330272,0.001508014,0.002058307,0.006084597,0.0008776828,0.001182471,0.009826617],"category_scores_gemma":[0.02120122,0.000512204,0.0004254699,0.002291343,0.001634856,0.002587581,0.005564197,0.001610469,0.0007683779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01286469,"about_ca_system_score_gemma":0.008951841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2302345,"about_ca_topic_score_gemma":0.254814,"domain_scores_codex":[0.9891889,0.004844091,0.0004523896,0.0004003147,0.003867285,0.001247014],"domain_scores_gemma":[0.9898746,0.004231723,0.0009007835,0.0008183792,0.002936591,0.001237881],"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":[0.00165193,0.001384426,0.1554962,0.001233746,0.00007915452,0.003008395,0.05015397,0.02471331,0.004833177,0.03424124,0.0312903,0.6919141],"study_design_scores_gemma":[0.0001615695,0.002057364,0.558533,0.002120618,0.0001348398,0.001791998,0.1181602,0.04808207,0.004603901,0.005545297,0.2584619,0.0003472595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123141,0.001315138,0.002735092,0.007422523,0.0001099059,0.0001703397,0.0003350758,0.0001178168,0.07547994],"genre_scores_gemma":[0.9907705,0.001002605,0.002285996,0.0001689567,0.000009029324,0.00003008245,0.0001515031,0.0000380198,0.005543386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2302345,"threshold_uncertainty_score":0.4577888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192063035328299,"score_gpt":0.2318636703462559,"score_spread":0.212657366813426,"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."}}