{"id":"W2391883001","doi":"","title":"Benefit Calculation of Asphalt Concrete Pavement Preventive Maintenance and Parameters","year":2006,"lang":"en","type":"article","venue":"Highway","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preventive maintenance; Planned maintenance; Engineering; Transport engineering; Risk analysis (engineering); Forensic engineering; Reliability 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008069102,0.00005987556,0.00008141388,0.00003263157,0.00001726997,0.000008460514,0.00002394167,0.00002931976,0.00003678787],"category_scores_gemma":[0.000004570875,0.00005886538,0.00001966234,0.00005908769,0.00001935839,0.00006521869,0.00000651827,0.00002494791,0.000004632336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002334715,"about_ca_system_score_gemma":0.000003995249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623842,"about_ca_topic_score_gemma":0.000008175883,"domain_scores_codex":[0.9995669,0.00001045049,0.0001660645,0.00007811593,0.00009998827,0.00007848855],"domain_scores_gemma":[0.9998018,0.00002176173,0.00003506875,0.00007090083,0.00005040173,0.00002008354],"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":[0.000003420753,0.000002973664,0.0004707049,0.00003429073,0.00001643354,4.591863e-7,0.0001358978,0.9798536,0.003054885,0.01462005,0.001149041,0.0006582225],"study_design_scores_gemma":[0.0005867706,0.00002279777,0.008883351,0.00004003133,0.0000198504,7.058072e-7,0.00001552441,0.9668528,0.02083346,0.00140403,0.001213012,0.0001276636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327788,0.0003679761,0.260006,0.00007981337,0.0002084894,0.0003136691,0.00002134116,0.0001446341,0.006079242],"genre_scores_gemma":[0.9910171,0.00003272149,0.008249449,0.00002621156,0.00001224074,0.00001122276,0.00002299494,0.000009280753,0.0006187789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2582383,"threshold_uncertainty_score":0.2400461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118163306408058,"score_gpt":0.2197725202710084,"score_spread":0.2085908872069278,"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."}}