{"id":"W593978798","doi":"","title":"Rapid Triaxial Frequency Sweep Testing of Reclaimed Asphalt Pavement Materials","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rubble; Asphalt; Geotechnical engineering; Sweep frequency response analysis; Asphalt pavement; Crushed stone; Asphalt concrete; Base course; Cement; Environmental science; Viscoelasticity; Materials science; Geology; Engineering; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200089,0.0003979029,0.0001527101,0.0005372308,0.0001374017,0.0001653663,0.0003161522,0.0002505465,0.001154604],"category_scores_gemma":[0.0004402225,0.0001767419,0.0001695345,0.0004156035,0.0002281266,0.0002715795,0.0001685097,0.0002386732,0.0002026358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219245,"about_ca_system_score_gemma":0.0001669723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988088,"about_ca_topic_score_gemma":0.00827901,"domain_scores_codex":[0.9996112,0.00004073429,0.00002478603,0.00006231946,0.0002135994,0.00004745746],"domain_scores_gemma":[0.9995081,0.0001042811,0.0001277834,0.00004485928,0.000185291,0.0000296482],"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":[0.00004249908,0.00001385674,0.001024109,0.00002723541,0.000002366338,0.00003728101,0.00003939811,0.0003226511,0.9960545,0.000007810359,0.000007966895,0.002420221],"study_design_scores_gemma":[0.000004885438,0.0008980141,0.0314532,0.000007502219,0.00001244641,0.0001199841,0.0001763097,0.001184354,0.9654273,0.00001180963,0.0006944559,0.00000979555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962136,0.0001316383,0.002997013,0.000008327213,0.000005842509,0.00002514813,0.0001145278,0.0000376888,0.0004661666],"genre_scores_gemma":[0.9940245,0.0001863277,0.004556512,0.00001079684,0.000002051423,0.00002007995,0.0001516437,0.00001156788,0.001036671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001988088,"threshold_uncertainty_score":0.003953099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08767503202623929,"score_gpt":0.356487886783609,"score_spread":0.2688128547573697,"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."}}