{"id":"W2964312603","doi":"10.1061/(asce)mt.1943-5533.0002810","title":"Effect of Recycled Concrete Aggregate on Rutting and Stiffness Characteristics of Asphalt Mixtures","year":2019,"lang":"en","type":"article","venue":"Journal of Materials in Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Rut; Aggregate (composite); Asphalt; Materials science; Stiffness; Asphalt concrete; Composite material; Asphalt pavement; Geotechnical engineering; Forensic engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003786675,0.0004327538,0.0003886466,0.000567765,0.0002477133,0.000514164,0.0002874939,0.0003355255,0.001251988],"category_scores_gemma":[0.00055566,0.0002116451,0.000457039,0.0003257022,0.0002430972,0.0003275556,0.0002445938,0.0003687937,0.0002779453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304412,"about_ca_system_score_gemma":0.0002187975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361313,"about_ca_topic_score_gemma":0.008788412,"domain_scores_codex":[0.9992386,0.0001396776,0.00006712998,0.0001337616,0.0003347986,0.00008588398],"domain_scores_gemma":[0.9994258,0.00013145,0.0001991921,0.00005330849,0.0001296868,0.00006054312],"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":[0.0002824456,0.00006558165,0.002395106,0.0001267501,0.00004067474,0.00008550247,0.00004782241,0.001006801,0.9907194,0.00002202168,0.00001430615,0.005193575],"study_design_scores_gemma":[0.000006234784,0.001287727,0.02228049,0.000009331446,0.00009974152,0.0001104536,0.00008876179,0.001168415,0.9739294,0.00001479154,0.0009850789,0.00001950305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979989,0.0006347645,0.0007359919,0.000007940801,0.000006234316,0.00001167931,0.00006951669,0.00002402905,0.0005110012],"genre_scores_gemma":[0.9978005,0.0002718157,0.001121564,0.0000102781,0.000002220552,0.000007358002,0.00005516833,0.00001043471,0.0007206405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002361313,"threshold_uncertainty_score":0.004695117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004870400901059173,"score_gpt":0.2228052613906903,"score_spread":0.2179348604896311,"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."}}