{"id":"W2295344826","doi":"10.1139/cjce-2015-0454","title":"Evaluation of warm mix asphalt performance incorporating high RAP content","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rut; Asphalt; Asphalt pavement; Water content; Materials science; Environmental science; Composite material; Geotechnical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004439358,0.0005192126,0.00034838,0.0006299489,0.000229316,0.0002944764,0.0003811938,0.0003863561,0.001075287],"category_scores_gemma":[0.0003584162,0.0001609772,0.0003551463,0.0003977673,0.0001589777,0.0004757085,0.0003009714,0.0003872924,0.0002962665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347358,"about_ca_system_score_gemma":0.0001122548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008507582,"about_ca_topic_score_gemma":0.002295805,"domain_scores_codex":[0.999536,0.00006540828,0.00003558751,0.00007876483,0.0002203,0.00006388432],"domain_scores_gemma":[0.9996635,0.0000602591,0.00007851866,0.00002986856,0.000124396,0.00004350067],"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":[0.0001849974,0.0001332489,0.001761462,0.00008072257,0.00001649754,0.00005775686,0.00003639138,0.0007996387,0.9922459,0.00002473567,0.00002123662,0.004637544],"study_design_scores_gemma":[0.000004726412,0.002092681,0.01099483,0.000004608337,0.00004048882,0.00008047856,0.00004997351,0.001433484,0.9848112,0.000009344472,0.0004687478,0.000009509231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980975,0.0002104891,0.001035306,0.000005017013,0.000004383544,0.0000164383,0.00008657209,0.00003647392,0.000507869],"genre_scores_gemma":[0.9971824,0.0001775369,0.001893439,0.00000570348,0.000002332828,0.00001304247,0.00009552511,0.00001087271,0.0006191494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001075287,"threshold_uncertainty_score":0.0035972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460816371521017,"score_gpt":0.2156384726504302,"score_spread":0.18103030893522,"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."}}