{"id":"W2364797857","doi":"","title":"Risk Identification and Prevention Strategy in International EPC Projects","year":2010,"lang":"en","type":"article","venue":"Petroleum Engineering Construction","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PCL Construction (Canada)","funders":"","keywords":"Procurement; Bidding; Risk assessment; Risk analysis (engineering); Engineering; Risk management; Identification (biology); Neglect; Business; Engineering management; Operations management; Computer security; Finance; Computer science; Marketing","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":[0.001305486,0.0001179382,0.0001262693,0.0008373645,0.00007648146,0.0003139467,0.0002146203,0.00007713528,0.0001811001],"category_scores_gemma":[0.0005997556,0.0001147989,0.00004119107,0.0004707051,0.00006348714,0.0007930403,0.00005815407,0.0003291796,0.00003590271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003009534,"about_ca_system_score_gemma":0.00003003341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005785517,"about_ca_topic_score_gemma":0.0002045672,"domain_scores_codex":[0.9985074,0.00003723974,0.0004959574,0.0003663365,0.0004399692,0.000153072],"domain_scores_gemma":[0.9992772,0.00009893281,0.0002267604,0.0002449574,0.0001094063,0.00004277012],"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":[0.00002847726,0.0000204799,0.2940448,0.00001136193,0.00002157181,0.00000163798,0.0001453155,0.007246596,0.01101507,0.01034753,0.00009896758,0.6770182],"study_design_scores_gemma":[0.0006439879,0.00002936576,0.5494077,0.0000153414,0.00001301478,0.00008897783,0.0004731501,0.4350875,0.0009206873,0.005236267,0.007870148,0.0002138338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699323,0.00001725329,0.02513275,0.0001289561,0.00216956,0.0001414157,0.000005504954,0.00007803708,0.002394247],"genre_scores_gemma":[0.9965968,0.00004788073,0.002500595,0.000004000263,0.0001619608,0.00002706991,0.000007921996,0.000007935886,0.0006458494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6768044,"threshold_uncertainty_score":0.4681364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325537955403212,"score_gpt":0.3011941413956326,"score_spread":0.2779387618416005,"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."}}