{"id":"W4407187440","doi":"10.1016/j.conbuildmat.2025.140294","title":"Analysis of the recyclability of thermosetting pavement materials: A case study of reclaimed epoxy asphalt pavement (REAP)","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Key Research and Development Program of China; Jiangsu Provincial Department of Education; Ministry of Science and Technology of the People's Republic of China","keywords":"Epoxy; Thermosetting polymer; Asphalt pavement; Asphalt; Materials science; Composite material; Forensic engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366512,0.0001527929,0.0005147132,0.0002561772,0.00008767171,0.00002201926,0.0001065545,0.000064545,0.0002253799],"category_scores_gemma":[0.0000530022,0.0001208379,0.00005487676,0.0005793974,0.0001054772,0.00009444264,0.00008954362,0.00004173067,1.332237e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006972858,"about_ca_system_score_gemma":0.00002574204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002641533,"about_ca_topic_score_gemma":0.00003781358,"domain_scores_codex":[0.9981645,0.000234861,0.001050024,0.0001962967,0.0002205614,0.000133797],"domain_scores_gemma":[0.9989932,0.00006964039,0.000424566,0.0003630267,0.0001296166,0.00001997527],"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":[0.00001872596,0.00007440917,0.03150987,0.0004360123,0.000789888,9.239671e-7,0.0007065854,0.002188495,0.9585099,0.0001855117,0.000004062246,0.005575621],"study_design_scores_gemma":[0.0006223571,0.00005174497,0.01687493,0.0001330094,0.000913593,0.000006473391,0.002856352,0.0008929446,0.977468,0.00008280042,0.000007906332,0.00008996775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977029,0.00005426755,0.0004623832,0.00001424475,0.0009116039,0.0007245252,0.00005243489,0.00003398036,0.00004366046],"genre_scores_gemma":[0.9991621,0.00002792802,0.0007195931,0.000006587726,0.00001846819,0.00004429305,0.000006757294,0.000008880943,0.000005418239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01895802,"threshold_uncertainty_score":0.4927629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716556070667487,"score_gpt":0.2799720139852447,"score_spread":0.2628064532785698,"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."}}