{"id":"W4413079160","doi":"10.3390/su17146540","title":"Dynamic Life Cycle Assessment of Low-Carbon Transition in Asphalt Pavement Maintenance: A Multi-Scale Case Study Under China’s Dual-Carbon Target","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Science Foundation of Xinjiang Province","keywords":"Life-cycle assessment; Asphalt; Upstream (networking); Sustainability; Production (economics); Circular economy; China; Environmental science; Scale (ratio); Business; Environmental economics; Operations management; Engineering; Materials 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":[0.00168547,0.0008292363,0.0005386766,0.0014076,0.0007993101,0.001292377,0.001323338,0.00133031,0.001437554],"category_scores_gemma":[0.001687446,0.0003231169,0.001101967,0.001279746,0.0007328724,0.001139814,0.000691589,0.000755263,0.00012068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759773,"about_ca_system_score_gemma":0.001702588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0610119,"about_ca_topic_score_gemma":0.05113315,"domain_scores_codex":[0.9994683,0.0001550642,0.00002195532,0.0001039045,0.0001212832,0.0001295964],"domain_scores_gemma":[0.9988207,0.0006184822,0.0001225165,0.0001040219,0.0002296038,0.0001046799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004621611,0.0007419204,0.06901731,0.0002431122,0.0001404284,0.003394399,0.0005278729,0.890915,0.00857093,0.004608165,0.0009382963,0.02044035],"study_design_scores_gemma":[0.00005416814,0.0005496608,0.04923292,0.00003236904,0.0001074658,0.0002147622,0.001789962,0.9371262,0.006990039,0.002274151,0.001554765,0.00007352443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945997,0.00006493516,0.002961868,0.00009041123,0.000004764926,0.00007454437,0.0004280819,0.00002802733,0.001747793],"genre_scores_gemma":[0.9971131,0.00005027497,0.002023204,0.000007301782,0.000001744733,0.00003461763,0.0002192497,0.000007835028,0.0005424992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0610119,"threshold_uncertainty_score":0.1213136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007214477616395629,"score_gpt":0.2998612647502377,"score_spread":0.292646787133842,"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."}}