{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005200617,0.0006970665,0.0003946273,0.003506516,0.002184953,0.0047795,0.001387965,0.001433805,0.003078049],"category_scores_gemma":[0.006156478,0.0002971083,0.0003812001,0.001571085,0.001094721,0.0024168,0.004173188,0.001252969,0.0005776607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002328046,"about_ca_system_score_gemma":0.005565234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306277,"about_ca_topic_score_gemma":0.003085722,"domain_scores_codex":[0.9961994,0.001521976,0.0002140764,0.0003061465,0.001180287,0.0005780394],"domain_scores_gemma":[0.9972147,0.0006041497,0.0006303034,0.0002129707,0.0008887716,0.0004491509],"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":[0.0004514478,0.001964715,0.05035516,0.0004715398,0.00009785838,0.00177889,0.008692971,0.03516118,0.00647823,0.165738,0.01403198,0.7147781],"study_design_scores_gemma":[0.0002597225,0.003410321,0.1606979,0.002476697,0.000546688,0.00560169,0.07296637,0.2317607,0.04005754,0.2426777,0.23904,0.0005046942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.531898,0.002992742,0.1867432,0.008318858,0.0001468536,0.001399127,0.0001239595,0.0006680811,0.2677092],"genre_scores_gemma":[0.9559933,0.0009843478,0.02916612,0.0002246615,0.0000256969,0.0003404259,0.00007742731,0.00002640532,0.01316164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005200617,"threshold_uncertainty_score":0.02750385,"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."}}