{"id":"W612715980","doi":"","title":"PERFORMANCE MODELING AND COMPARATIVE LIFE-CYCLE ANALYSIS OF ENHANCED ASPHALT PAVEMENTS","year":2000,"lang":"en","type":"article","venue":"Road Materials and Pavement Design","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Service life; Asphalt pavement; Life-cycle cost analysis; Rut; Pavement engineering; Cost analysis; Engineering; Life cycle costing; Civil engineering; Forensic engineering; Transport engineering; Environmental science; Operations research; Reliability engineering; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005249293,0.0002057603,0.0004442539,0.0001537139,0.00009037476,0.00004720908,0.0000737044,0.00005534583,0.00130314],"category_scores_gemma":[0.000002377299,0.000197115,0.00002822683,0.0002244842,0.00002889939,0.0002903042,0.00001876113,0.00003877373,0.00001438648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002792077,"about_ca_system_score_gemma":0.0000118406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248721,"about_ca_topic_score_gemma":0.000003116602,"domain_scores_codex":[0.9987251,0.00006671496,0.0005120177,0.0002201833,0.0002354981,0.0002404684],"domain_scores_gemma":[0.9996207,0.00002126902,0.00007498218,0.0001611882,0.00004037841,0.00008147333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005339183,0.00003085305,0.0003271019,0.0001442353,0.0006009869,2.009799e-7,0.001038678,0.8051108,0.1854633,0.00001712181,0.0000161706,0.007197169],"study_design_scores_gemma":[0.0004934701,0.0001114127,0.004800535,0.00004421865,0.0003370527,1.39384e-7,0.00007008873,0.8050589,0.1888702,0.00001857508,0.00001484692,0.0001805649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854642,0.0002501937,0.01318854,0.00000460309,0.00008629276,0.0004228026,0.00002281211,0.00005789723,0.0005026454],"genre_scores_gemma":[0.9968885,0.001678307,0.001169753,0.00003549414,0.00003354045,0.00006516673,0.00005479579,0.00001374478,0.00006075936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201879,"threshold_uncertainty_score":0.9996098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893045786422179,"score_gpt":0.2649323304024917,"score_spread":0.2160018725382699,"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."}}