{"id":"W4321459780","doi":"10.3390/buildings13020571","title":"A Multi-Criteria Decision-Making Model for Selecting the Best Project Delivery Systems for Offsite Construction Projects","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multiple-criteria decision analysis; Procurement; Interdependence; Integrated project delivery; Quality (philosophy); Process management; Process (computing); Computer science; Work (physics); Risk analysis (engineering); Flexibility (engineering); Project management; Management science; Operations research; Systems engineering; Engineering; Business","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":[0.005230094,0.002090683,0.002096572,0.003404601,0.002016341,0.0042817,0.003446745,0.003953839,0.008642735],"category_scores_gemma":[0.004715414,0.001256865,0.001953556,0.002755783,0.001147749,0.002074598,0.002018363,0.002202396,0.0006160881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005026747,"about_ca_system_score_gemma":0.004945845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720415,"about_ca_topic_score_gemma":0.01391564,"domain_scores_codex":[0.9970758,0.001428472,0.0001610159,0.0005280108,0.000433979,0.0003726757],"domain_scores_gemma":[0.9973354,0.001681135,0.0002619629,0.00003973202,0.0004573675,0.0002244192],"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":[0.0001087988,0.0001136349,0.0008156041,0.0001753757,0.00007214989,0.0002213361,0.000173056,0.9834918,0.0004505826,0.005832257,0.0004899093,0.008055457],"study_design_scores_gemma":[0.00004175299,0.00007987297,0.0002295815,0.00003262586,0.00003307826,0.00001609043,0.00009646564,0.9960623,0.0001170159,0.002850028,0.0004231042,0.00001806044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.156461,0.001221134,0.8136594,0.002024031,0.0001994638,0.001740624,0.0009610267,0.0003866843,0.02334661],"genre_scores_gemma":[0.8132145,0.0007558448,0.176987,0.0002046447,0.00005128761,0.002290577,0.0004769636,0.00003055877,0.005988644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01720415,"threshold_uncertainty_score":0.03647172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736599150984411,"score_gpt":0.4155594849645483,"score_spread":0.2418995698661071,"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."}}