{"id":"W2152277790","doi":"","title":"APPLICATION OF AN INFORMATION AND KNOWLEDGE MANAGEMENT METHODOLOGY IN ANALYZING THE RISKS IN CONSTRUCTION PROJECTS","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Risk management; Risk analysis (engineering); Project management; Construction management; Multitude; Body of knowledge; Information system; Knowledge management; Computer science; Engineering management; Engineering; Business; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01286816,0.0009781147,0.000736404,0.01396747,0.002427036,0.007169506,0.001969163,0.001758991,0.002022218],"category_scores_gemma":[0.02186403,0.0005129432,0.001283599,0.009598389,0.002380889,0.007133374,0.002580378,0.001347288,0.0003899282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003548356,"about_ca_system_score_gemma":0.007008028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006007236,"about_ca_topic_score_gemma":0.007315579,"domain_scores_codex":[0.9903598,0.004662072,0.00105901,0.0008617677,0.002722585,0.0003347906],"domain_scores_gemma":[0.9759477,0.01560772,0.002545785,0.001701941,0.003694922,0.0005020139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001635508,0.0009906945,0.03157385,0.001280923,0.0002590518,0.001130977,0.02594227,0.02127201,0.00511567,0.1013497,0.002821268,0.8081],"study_design_scores_gemma":[0.0002622629,0.001574595,0.06088372,0.003696964,0.0008830265,0.003159323,0.07309998,0.4272533,0.02485567,0.283227,0.1205477,0.0005564745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09074242,0.0005405063,0.8729149,0.003460407,0.0000698774,0.00207221,0.0004126659,0.000584808,0.02920222],"genre_scores_gemma":[0.2336052,0.0004253428,0.7630037,0.0001316653,0.00002665079,0.0008686712,0.0002622924,0.00002545982,0.001651028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01396747,"threshold_uncertainty_score":0.0680542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05562467889231695,"score_gpt":0.3309631673111103,"score_spread":0.2753384884187933,"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."}}