{"id":"W4321768227","doi":"10.1016/j.autcon.2023.104808","title":"Optimized decision support for BIM maturity assessment","year":2023,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Research Grants Council, University Grants Committee; National Social Science Fund of China; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Maturity (psychological); Capability Maturity Model; Building information modeling; Process (computing); Function (biology); Engineering; Process management; Systems engineering; Risk analysis (engineering); Computer science; Operations management; Business; Software","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":[0.001485581,0.0008785413,0.0008671531,0.001623517,0.0004457579,0.002779272,0.00101762,0.0007357299,0.007697461],"category_scores_gemma":[0.007995691,0.00052921,0.0005814288,0.001285171,0.0002668585,0.001551922,0.001227871,0.0007736481,0.0017068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007586455,"about_ca_system_score_gemma":0.001450791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212369,"about_ca_topic_score_gemma":0.005501288,"domain_scores_codex":[0.9982511,0.0005582623,0.0001223127,0.0002094625,0.0006651551,0.000193514],"domain_scores_gemma":[0.997294,0.001442927,0.0001804027,0.0002648508,0.0007287349,0.00008912427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001368089,0.0003853629,0.004839398,0.000208626,0.0001258472,0.0002276863,0.0002139366,0.4987607,0.01663251,0.01995446,0.006462673,0.4508207],"study_design_scores_gemma":[0.00001717211,0.00003947154,0.0004366804,0.00000881392,0.00001411195,0.00001660503,0.00002635645,0.990761,0.004108812,0.00374569,0.000816242,0.000009006963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06306573,0.0001685572,0.9273599,0.0001767356,0.00004990646,0.0001208488,0.0005684539,0.003655158,0.004834697],"genre_scores_gemma":[0.7590647,0.00009434682,0.2381429,0.00005960501,0.00002220166,0.00009205641,0.0008117122,0.0002082561,0.001504297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007697461,"threshold_uncertainty_score":0.02575058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209271287198242,"score_gpt":0.2770197122604636,"score_spread":0.2649269993884812,"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."}}