{"id":"W4404282310","doi":"10.3390/engproc2024076078","title":"Enhancing Construction Project Performance Through Integrated and Optimized Supply Chain Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; École de Technologie Supérieure","funders":"","keywords":"Supply chain management; Supply chain; Computer science; Project management; Systems engineering; Process management; Business; Engineering","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":[0.001597518,0.0007267237,0.0005103146,0.0008125353,0.0003971377,0.00203571,0.0007497976,0.0006429777,0.0009698919],"category_scores_gemma":[0.002047403,0.0004773173,0.0003533237,0.001151243,0.0004862638,0.001878569,0.001327379,0.0006183995,0.000210505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394817,"about_ca_system_score_gemma":0.002503464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115187,"about_ca_topic_score_gemma":0.004518788,"domain_scores_codex":[0.9988953,0.0004164843,0.00003936173,0.0001180538,0.0003545814,0.0001761379],"domain_scores_gemma":[0.9992236,0.0002442751,0.0002558992,0.00007333393,0.0001370908,0.0000657943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002220446,0.00004368176,0.0007728694,0.00002085956,0.000009944692,0.00001688411,0.00002890097,0.9810045,0.002340746,0.001749713,0.0001016023,0.01388808],"study_design_scores_gemma":[0.000007094058,0.00009132048,0.0004779037,0.000008832959,0.00001097727,0.00001078746,0.00004158611,0.9943774,0.002184623,0.002442592,0.0003376103,0.00000914291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1874632,0.0002313993,0.8063729,0.0002045924,0.0000106908,0.0001031457,0.00006388784,0.0002605156,0.005289689],"genre_scores_gemma":[0.9381377,0.0001438493,0.06087796,0.00001361466,0.000003216234,0.00006698712,0.00004751702,0.00002311353,0.0006860403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003115187,"threshold_uncertainty_score":0.01012021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816899399878146,"score_gpt":0.3375114882530776,"score_spread":0.2893424942542961,"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."}}