{"id":"W636800691","doi":"","title":"PAVEMENT TECHNOLOGY FOR MEGA TRANSPORTATION PROJECTS","year":2001,"lang":"en","type":"article","venue":"","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Life cycle costing; Toll; Engineering; Activity-based costing; Flexibility (engineering); Track (disk drive); Civil engineering; Business","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":[0.0004986093,0.0003390339,0.0001329172,0.002090907,0.0004657697,0.001514918,0.000313859,0.0003459849,0.01223073],"category_scores_gemma":[0.001853551,0.0001919257,0.0002167157,0.002268706,0.0004035542,0.001294843,0.0006009546,0.0004387817,0.001526442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272602,"about_ca_system_score_gemma":0.001378223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518938,"about_ca_topic_score_gemma":0.005400035,"domain_scores_codex":[0.9991342,0.0002450393,0.00003699607,0.00006032055,0.0004503742,0.00007301467],"domain_scores_gemma":[0.9995965,0.0001332824,0.00005137979,0.00006186182,0.0001280018,0.00002903921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008002508,0.00008685779,0.003742572,0.0008700736,0.00002148102,0.0005763762,0.0003214979,0.04392326,0.01028744,0.3364959,0.01778334,0.5858113],"study_design_scores_gemma":[0.00003376462,0.0006050674,0.02659257,0.001189893,0.0000744202,0.002403534,0.001276556,0.05944933,0.02121315,0.1327832,0.7542898,0.0000886287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1646196,0.03245701,0.2871791,0.002637793,0.0004296217,0.0007360655,0.001270775,0.0007386452,0.5099314],"genre_scores_gemma":[0.7460739,0.03416181,0.1206965,0.0001663621,0.0001267594,0.0004353933,0.0008987459,0.00013109,0.09730944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01223073,"threshold_uncertainty_score":0.04091585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772170769330697,"score_gpt":0.2416933657447254,"score_spread":0.2139716580514184,"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."}}