{"id":"W631638246","doi":"","title":"PROSPECTIVE MANAGEMENT OF HIGHWAY PAVEMENT REHABILITATION PROGRAMMING","year":2000,"lang":"en","type":"article","venue":"SECOND ASIA PACIFIC CONFERENCE & EXHIBITION ON TRANSPORTATION AND THE ENVIRONMENT 11-13 APRIL 2000 BEIJING, P.R.CHINA","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life-cycle cost analysis; Pavement management; Rehabilitation; Driver rehabilitation; Transport engineering; Christian ministry; Asset management; Cost analysis; Engineering; Life cycle costing; Operations management; Operations research; Business; Medicine; Reliability engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002666334,0.0003116085,0.0002931552,0.00008982269,0.0001767261,0.00004980296,0.0001076175,0.0000872392,0.002690563],"category_scores_gemma":[0.000001394463,0.0002552402,0.0001106075,0.0001136624,0.0002391402,0.0001943989,0.000003585053,0.0002123687,0.0000251992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214662,"about_ca_system_score_gemma":0.00001145479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002081254,"about_ca_topic_score_gemma":0.00003203078,"domain_scores_codex":[0.9983824,0.00005077062,0.0005310214,0.0003808824,0.0003466749,0.0003082546],"domain_scores_gemma":[0.9994669,0.00003036257,0.0001212019,0.0002861726,0.00001770364,0.00007763787],"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":[0.001162659,0.0008164776,0.0240581,0.002060521,0.0007876045,0.00005279333,0.06164775,0.05672173,0.006858937,0.2687273,0.000636319,0.5764698],"study_design_scores_gemma":[0.007078373,0.0005363029,0.9157258,0.000861989,0.0002390285,0.000004939263,0.009704506,0.002538127,0.01272688,0.008338815,0.04122906,0.001016161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726191,0.0001387847,0.004218184,0.0002083898,0.0002159865,0.001324063,0.00006490895,0.0001505598,0.02106009],"genre_scores_gemma":[0.9966139,0.000473735,0.001007636,0.00001479969,0.00003786144,0.0002258833,0.0001311488,0.0000327132,0.00146237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8916677,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00306194997054464,"score_gpt":0.1729540930662952,"score_spread":0.1698921430957505,"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."}}