{"id":"W2026733204","doi":"10.1139/l05-087","title":"An analytic hierarchy process based model for risk and opportunity assessment of international construction projects","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Bidding; Ranking (information retrieval); Risk analysis (engineering); Risk assessment; Process (computing); Risk management; Project management; Engineering; Computer science; Operations research; Business; Marketing; Finance; Systems engineering; Computer security","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":[0.008763056,0.001160679,0.0009235321,0.004400508,0.001669233,0.004486052,0.002396523,0.001398358,0.002801676],"category_scores_gemma":[0.01812787,0.0005188237,0.001319603,0.005153633,0.001406092,0.004017766,0.001524222,0.002076678,0.0006011729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004620911,"about_ca_system_score_gemma":0.0058002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431307,"about_ca_topic_score_gemma":0.01202283,"domain_scores_codex":[0.9925225,0.004124433,0.0004373117,0.0003766408,0.002181638,0.0003574679],"domain_scores_gemma":[0.9923245,0.004889618,0.0007541472,0.0002297934,0.00151404,0.0002879667],"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":[0.0001699209,0.0003844863,0.006714133,0.0007227038,0.0002589363,0.0004779708,0.004840685,0.4866372,0.00179547,0.3256291,0.006196105,0.1661732],"study_design_scores_gemma":[0.00006664699,0.0002112929,0.001477196,0.0001250592,0.00005923146,0.00008944084,0.0007267825,0.8800057,0.0002683447,0.1113799,0.005530428,0.00005995618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01669781,0.0003093949,0.9742333,0.0007747256,0.00004829081,0.0007185686,0.0002674902,0.0002476831,0.00670263],"genre_scores_gemma":[0.3114881,0.0007465709,0.6831289,0.00008628132,0.00006758839,0.001943998,0.0005454905,0.00002991546,0.001963316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01431307,"threshold_uncertainty_score":0.04634404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688017997342789,"score_gpt":0.3239394617543188,"score_spread":0.2770592817808909,"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."}}