{"id":"W47203096","doi":"10.22260/isarc2013/0051","title":"Multi-Tiered Project Delivery Systems Selection for Capital Projects","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Integrated project delivery; Computer science; Project management; Selection (genetic algorithm); Hierarchy; General partnership; Operations research; Analytic hierarchy process; Systems engineering; Engineering management; Process management; Engineering; Business; Economics","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":[0.008318162,0.0011707,0.001232042,0.005609972,0.001236225,0.003270607,0.001062818,0.0006893677,0.007810969],"category_scores_gemma":[0.01395272,0.0007744523,0.001708468,0.003426639,0.0005719804,0.001761437,0.001869611,0.000999525,0.0007663384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740055,"about_ca_system_score_gemma":0.003676323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399714,"about_ca_topic_score_gemma":0.006300336,"domain_scores_codex":[0.9921973,0.003775174,0.0004294354,0.0007031519,0.00239433,0.0005005201],"domain_scores_gemma":[0.9951875,0.002627546,0.0005404662,0.0003272552,0.001116139,0.000201005],"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":[0.0003456744,0.0002641684,0.01080633,0.0008081503,0.0001910554,0.0002758788,0.0008010811,0.4608468,0.006829898,0.04705637,0.004838975,0.4669356],"study_design_scores_gemma":[0.00008307052,0.0004158869,0.006055195,0.0002293344,0.0001254388,0.0002547204,0.0006247783,0.93932,0.008294873,0.03193804,0.01252916,0.0001295318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03605056,0.0003229787,0.9534515,0.0001463689,0.00002642881,0.0008676592,0.0003685644,0.0005393855,0.008226588],"genre_scores_gemma":[0.2749393,0.0001940536,0.7218666,0.00004080588,0.000008889865,0.0005181297,0.0003914734,0.0001053604,0.001935373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008318162,"threshold_uncertainty_score":0.04399115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09908932129764575,"score_gpt":0.325275398430662,"score_spread":0.2261860771330163,"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."}}