{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001829609,0.0004027134,0.0004056915,0.0008958422,0.0006291524,0.002563102,0.0009658111,0.0005205718,0.006867231],"category_scores_gemma":[0.005690308,0.0003967529,0.0002793766,0.001028368,0.0005024643,0.001924905,0.001002043,0.0008050956,0.0002943958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492016,"about_ca_system_score_gemma":0.002908106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003165627,"about_ca_topic_score_gemma":0.005258983,"domain_scores_codex":[0.9990845,0.0004206245,0.00003475531,0.000105065,0.0001944584,0.000160547],"domain_scores_gemma":[0.9978823,0.000984234,0.0002938443,0.00008305381,0.0005416656,0.00021497],"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":[0.0001665696,0.0004572977,0.01078274,0.0001953145,0.00005711358,0.0002050714,0.0004402094,0.6993181,0.001674663,0.1133115,0.003635869,0.1697556],"study_design_scores_gemma":[0.00002304604,0.0002707715,0.002513883,0.00004398449,0.0000244369,0.00006670698,0.0006177747,0.9300824,0.002079541,0.05722787,0.007027298,0.00002222371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3712798,0.0007186875,0.5634866,0.002404344,0.00004220886,0.00111093,0.0005691093,0.0006299405,0.05975841],"genre_scores_gemma":[0.8665244,0.0005445354,0.1216314,0.0000637608,0.00002405413,0.0004257875,0.0003744454,0.00007041877,0.01034121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006867231,"threshold_uncertainty_score":0.02297318,"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."}}