{"id":"W6928686754","doi":"10.4224/40003493","title":"BIM maturity at scale: enabling digital transformation across the Canadian construction industry","year":2025,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Building information modeling; Sustainability; Digital transformation; Underpinning; Service Integration Maturity Model; Scalability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00609147,0.000738501,0.0002475801,0.004140349,0.01027845,0.01184835,0.002366512,0.001443039,0.007361037],"category_scores_gemma":[0.01215284,0.0004474709,0.0005733808,0.006665439,0.005092234,0.007184551,0.008364417,0.002488805,0.001404083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1089464,"about_ca_system_score_gemma":0.2195837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641916,"about_ca_topic_score_gemma":0.9779837,"domain_scores_codex":[0.9917958,0.0008202683,0.0002112413,0.0004486216,0.004995754,0.001728272],"domain_scores_gemma":[0.9929867,0.0006521049,0.0001898905,0.0003865895,0.004785889,0.0009988928],"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":[0.00005165685,0.0001156595,0.01108009,0.0006823659,0.00002159904,0.0004526632,0.01929575,0.005233548,0.003040684,0.4323274,0.08368702,0.4440115],"study_design_scores_gemma":[0.00001837207,0.00005769233,0.02917388,0.0009684245,0.00005088273,0.0002390893,0.03262652,0.01115682,0.00339333,0.05753972,0.8646188,0.000156407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09047836,0.006496038,0.08787544,0.0508221,0.0004255992,0.001044844,0.002185502,0.001869962,0.7588022],"genre_scores_gemma":[0.7406843,0.01077373,0.1700698,0.003090478,0.0001043858,0.0005456498,0.003048407,0.0004789901,0.07120422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1089464,"threshold_uncertainty_score":0.7904654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505585264884788,"score_gpt":0.2914549959354322,"score_spread":0.2663991432865844,"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."}}