{"id":"W4327860890","doi":"10.1108/ci-11-2022-0299","title":"A hybrid AHP-MAUT model for assessing competitiveness of construction companies: a case study of construction companies in Vietnam and Canada","year":2023,"lang":"en","type":"article","venue":"Construction Innovation","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Benchmarking; Analytic hierarchy process; Competitive advantage; Context (archaeology); Business; Profitability index; Critical success factor; Pairwise comparison; Industrial organization; Marketing; Process management; Computer science; Operations research; 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":[0.002665404,0.0007750748,0.000824778,0.002058742,0.001630162,0.0027968,0.001880739,0.001249876,0.00209541],"category_scores_gemma":[0.002960023,0.0003888543,0.001008067,0.00201978,0.000706201,0.0006759166,0.001032714,0.0009140409,0.0001094837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008600202,"about_ca_system_score_gemma":0.008293771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3410082,"about_ca_topic_score_gemma":0.2980286,"domain_scores_codex":[0.9986774,0.0006862103,0.00006416807,0.0001263127,0.0002308763,0.0002150313],"domain_scores_gemma":[0.99799,0.001309019,0.0001061489,0.00003649658,0.0004537133,0.0001046256],"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":[0.0002377577,0.0003352812,0.01774396,0.000471013,0.0001445593,0.001033368,0.001132655,0.9308595,0.0009351619,0.0106779,0.001270674,0.03515806],"study_design_scores_gemma":[0.00001400447,0.0000598822,0.001436874,0.00003161662,0.00002087518,0.00002928323,0.001119469,0.9956418,0.0001877435,0.0008478407,0.0005974818,0.00001302994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011509,0.00125008,0.1729984,0.001781527,0.00007109604,0.001473984,0.001159867,0.0002170248,0.0198971],"genre_scores_gemma":[0.9484897,0.0003465294,0.04833615,0.00005441473,0.000009441284,0.0003517472,0.0002434444,0.00001209523,0.002156499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6589918,"threshold_uncertainty_score":0.6780466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682516279044617,"score_gpt":0.4118117687170637,"score_spread":0.243560140812602,"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."}}