{"id":"W4255808903","doi":"10.1061/9780784480939.027","title":"Comparing Methods for Determining In Situ Asphalt Stiffness Using Pavement ME","year":2017,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Gradation; Falling weight deflectometer; Asphalt; Stiffness; Asphalt pavement; Geotechnical engineering; Modulus; Aggregate (composite); Dynamic modulus; Materials science; Structural engineering; Engineering; Composite material; Computer science","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":[0.005360229,0.001464987,0.0006139091,0.002094573,0.0004031945,0.0008147447,0.001310487,0.0009368017,0.001468072],"category_scores_gemma":[0.01346804,0.0007084848,0.0006972821,0.001387605,0.0004192367,0.001292717,0.001138067,0.001058728,0.0005623191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006237999,"about_ca_system_score_gemma":0.0003648284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001672804,"about_ca_topic_score_gemma":0.005042157,"domain_scores_codex":[0.994052,0.001578152,0.0005632508,0.001100309,0.002507986,0.0001983605],"domain_scores_gemma":[0.9855528,0.006666574,0.001241452,0.002572977,0.003691616,0.0002745459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00317585,0.0007608095,0.06321646,0.001498494,0.0006533258,0.0001050727,0.0011117,0.02159014,0.7089567,0.001347991,0.000439505,0.1971439],"study_design_scores_gemma":[0.0001032604,0.006974129,0.1637444,0.00009093915,0.0004485754,0.0006905162,0.000675609,0.06638824,0.7532122,0.001192708,0.006151957,0.0003273968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6562389,0.001836549,0.3348109,0.00008222039,0.0002061013,0.0007429004,0.001010172,0.0007197039,0.004352546],"genre_scores_gemma":[0.8224121,0.001116011,0.1721874,0.00005542442,0.00004579067,0.000821176,0.0006957938,0.0002285543,0.002437626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005360229,"threshold_uncertainty_score":0.02834797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466591575348032,"score_gpt":0.4146146423006951,"score_spread":0.2679554847658919,"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."}}