{"id":"W838274664","doi":"10.17226/13869","title":"Value Engineering Applications in Transportation","year":2005,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Value engineering; Engineering; Computer science; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001531781,0.0009242619,0.0005991785,0.005239684,0.002540555,0.008817717,0.0008939395,0.001381591,0.01910826],"category_scores_gemma":[0.004769107,0.00031388,0.0004856914,0.01576742,0.003806329,0.004472644,0.002275693,0.001805801,0.003091617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01068098,"about_ca_system_score_gemma":0.01070035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06072966,"about_ca_topic_score_gemma":0.1050707,"domain_scores_codex":[0.9982939,0.0004968763,0.000106698,0.00009734549,0.0008484291,0.0001566504],"domain_scores_gemma":[0.997613,0.001434324,0.0001031138,0.0001382968,0.0006071136,0.0001042182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006523152,0.00002859774,0.0005249344,0.001093767,0.00001133138,0.0001927077,0.002944928,0.001635109,0.0002169089,0.5629161,0.08479824,0.3456309],"study_design_scores_gemma":[0.000001426262,0.000007883426,0.0006924507,0.001390761,0.000004949279,0.0002070477,0.001808341,0.0003424243,0.0001195259,0.1213317,0.8740807,0.0000128902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003936374,0.1194682,0.03384014,0.01134049,0.001418448,0.0001698462,0.0005361318,0.0002403909,0.82905],"genre_scores_gemma":[0.1921319,0.4148444,0.06879923,0.004664507,0.001799377,0.0005210213,0.001728898,0.0003810783,0.3151295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06072966,"threshold_uncertainty_score":0.1207523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876623675866148,"score_gpt":0.270566804965323,"score_spread":0.2418005682066615,"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."}}