{"id":"W2020988382","doi":"10.1080/10298436.2010.535538","title":"Reliability-based initial pavement performance deterioration modelling","year":2011,"lang":"en","type":"article","venue":"International Journal of Pavement Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Concordia University","funders":"","keywords":"Reliability (semiconductor); Bayesian probability; Probabilistic logic; International Roughness Index; Bayesian inference; Bayesian network; Computer science; Statistics; Reliability engineering; Engineering; Econometrics; Mathematics; Surface finish","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183632,0.0006014153,0.000613132,0.0007775557,0.000212907,0.0007699648,0.001849049,0.0005575622,0.001300063],"category_scores_gemma":[0.004209875,0.0004115047,0.000638434,0.0005240383,0.0004262513,0.0009055569,0.0006674922,0.0009693298,0.0004196483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009841092,"about_ca_system_score_gemma":0.0008125846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197979,"about_ca_topic_score_gemma":0.01052361,"domain_scores_codex":[0.9993851,0.0001554315,0.00003144554,0.0001344195,0.0002320544,0.00006144948],"domain_scores_gemma":[0.9987072,0.0005129893,0.0002352704,0.0001900904,0.0003201243,0.00003431484],"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":[0.00000831598,0.000008207121,0.001005057,0.00001448116,0.00001125928,0.00001344301,0.0000267615,0.9847819,0.0008074894,0.003849687,0.0001413113,0.009332066],"study_design_scores_gemma":[7.072379e-7,0.000009192644,0.0005019892,0.000002693064,0.000004545042,0.000006630489,0.00000193237,0.9976815,0.0002639513,0.00132388,0.000198807,0.000004189633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06887075,0.0001975712,0.9237593,0.0001596259,0.00001762818,0.00004038747,0.0004356579,0.0008123443,0.005706694],"genre_scores_gemma":[0.9491817,0.0002126683,0.04707985,0.00001697853,0.00001783221,0.00005253729,0.0003240823,0.00007814086,0.003036211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01197979,"threshold_uncertainty_score":0.0238201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761941195459503,"score_gpt":0.2188541137437165,"score_spread":0.2012347017891215,"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."}}