{"id":"W2118279246","doi":"10.1139/l09-061","title":"Risk assessment of international construction projects using the analytic network process","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic network process; Bidding; Process (computing); Reliability (semiconductor); Context (archaeology); Risk assessment; Risk management; Computer science; Risk analysis (engineering); Risk management tools; Decision support system; Decision maker; Project risk management; Contingency; Operations research; Engineering; Project management; Analytic hierarchy process; Data mining; Business; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068619,0.001136735,0.0007074215,0.00391434,0.0008967582,0.002322952,0.0008499727,0.0006274428,0.001579292],"category_scores_gemma":[0.0199809,0.0002998633,0.0008126748,0.002547005,0.0007659756,0.002757507,0.001606581,0.0007544854,0.0001715951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297503,"about_ca_system_score_gemma":0.001324852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003666829,"about_ca_topic_score_gemma":0.002253241,"domain_scores_codex":[0.9941819,0.003857494,0.0002176174,0.0003058933,0.001324198,0.0001128507],"domain_scores_gemma":[0.9910979,0.007018344,0.0006883092,0.0002495795,0.0008392559,0.0001066095],"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":[0.0001958522,0.0001042965,0.007411858,0.0002543358,0.000153389,0.0003184513,0.001328717,0.7564658,0.001961583,0.0638717,0.0006158541,0.1673181],"study_design_scores_gemma":[0.000009675187,0.00006478758,0.00075915,0.00003802202,0.00002524948,0.00005826888,0.0002158398,0.9621578,0.0008247122,0.03443042,0.0013955,0.00002060651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03338485,0.0001651223,0.9634072,0.0001607271,0.00001403008,0.0001630372,0.00004770689,0.0001013665,0.002556055],"genre_scores_gemma":[0.6139933,0.0006200566,0.3834966,0.00002646566,0.00003509013,0.0004218075,0.0001489059,0.00002812599,0.001229638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0068619,"threshold_uncertainty_score":0.03628963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657092481528906,"score_gpt":0.3227750104091537,"score_spread":0.2862040855938646,"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."}}