{"id":"W2983521989","doi":"10.1108/ecam-03-2019-0119","title":"The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms","year":2019,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Knowledge management; Organizational structure; Informal organization; Perspective (graphical); Social network analysis; Architecture; Organizational network analysis; Digital transformation; Business; Computer science; Organizational learning; Social media; Management; World Wide Web","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":[0.0000668686,0.0001967473,0.0001622544,0.0002367521,0.00006556996,0.0000577395,0.00007715053,0.00005393991,0.00001979147],"category_scores_gemma":[0.00001098645,0.0001429466,0.0000646127,0.000201297,0.00004949772,0.0002691583,0.00003258362,0.0001838637,0.000001170527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942438,"about_ca_system_score_gemma":0.000006741045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002659761,"about_ca_topic_score_gemma":9.6479e-7,"domain_scores_codex":[0.9991803,0.000004903316,0.0003175222,0.0001081621,0.0001761836,0.0002129579],"domain_scores_gemma":[0.9996815,0.00005420618,0.00005813047,0.0001230217,0.00003487242,0.00004831627],"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":[0.00006454971,0.000005636599,0.002880243,0.0004147476,0.0002716157,3.572382e-7,0.0008527005,0.7510681,0.002270768,0.07467849,0.000005254923,0.1674875],"study_design_scores_gemma":[0.002502983,0.0004735109,0.3631626,0.0002670402,0.00007308266,0.0004514434,0.0009505269,0.6226774,0.00584179,0.001730293,0.001113037,0.0007562649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650341,0.00008629922,0.0336089,0.00002016943,0.0002849849,0.0002826197,0.00003899404,0.0001073873,0.0005365406],"genre_scores_gemma":[0.9985663,0.0000365553,0.001304545,0.000001866431,0.00003144767,0.000007677454,0.00002329998,0.00001840846,0.00000992574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602823,"threshold_uncertainty_score":0.5829193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001728591316938917,"score_gpt":0.1715500017446132,"score_spread":0.1698214104276743,"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."}}