{"id":"W7008712005","doi":"","title":"Comparison of Condition Evaluation Methods for Flexible Pavement, and Exploration of Ride Quality Assessment through Vibration Frequency Analysis","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"University of Waterloo","keywords":"Ride quality; International Roughness Index; Vibration; Evaluation methods; Frequency domain; Quality (philosophy); Asset management; Road surface; Pavement engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004101183,0.000836266,0.0006229666,0.004568576,0.0003310532,0.001300758,0.0008718819,0.000567087,0.002671232],"category_scores_gemma":[0.01318991,0.0003537633,0.0006683516,0.001907551,0.0004953733,0.00163071,0.0006712075,0.0005865048,0.0006754923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006606785,"about_ca_system_score_gemma":0.0006414512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003203797,"about_ca_topic_score_gemma":0.004816052,"domain_scores_codex":[0.9948861,0.0009841785,0.000341308,0.0005468276,0.003117259,0.0001242985],"domain_scores_gemma":[0.9925224,0.002992097,0.0007855298,0.000649322,0.002942594,0.0001080955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004949376,0.000220888,0.01732376,0.001222483,0.0001376039,0.00008508538,0.0006750308,0.03219506,0.04214478,0.003613377,0.002861497,0.8990255],"study_design_scores_gemma":[0.0002069738,0.003183944,0.2085868,0.0008483942,0.0004789255,0.001354828,0.002902962,0.5876479,0.1384522,0.00639412,0.0492471,0.0006958603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1468179,0.005316726,0.8306345,0.0001850948,0.0002722299,0.0005656059,0.0006058239,0.001768673,0.01383346],"genre_scores_gemma":[0.5499498,0.003700175,0.4399499,0.00006000663,0.00009685896,0.0004727126,0.0007845973,0.0002818469,0.004704187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004568576,"threshold_uncertainty_score":0.02168941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07938592527947928,"score_gpt":0.4007013207142062,"score_spread":0.3213153954347269,"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."}}