{"id":"W4321353490","doi":"10.1007/s10098-023-02481-8","title":"Experimental and numerical investigation of using waste glass aggregates in asphalt pavement to mitigate urban heat islands","year":2023,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aggregate (composite); Asphalt; Urban heat island; Rut; Asphalt pavement; Asphalt concrete; Materials science; TRNSYS; Heat transfer; Environmental science; Geotechnical engineering; Thermal; Thermal diffusivity; Thermal conductivity; Waste management; Composite material; Geology; Engineering; Meteorology","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":[0.0001059072,0.0001837671,0.0001956761,0.0001949476,0.00009478493,0.00001847251,0.0001270437,0.0001088135,0.00002662033],"category_scores_gemma":[0.00002037697,0.0001753478,0.00002658128,0.0004197097,0.0005138905,0.0001673119,0.0005847936,0.000100668,0.00002078108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625293,"about_ca_system_score_gemma":0.000004987467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603329,"about_ca_topic_score_gemma":0.00003750094,"domain_scores_codex":[0.998809,0.00002648291,0.0002682786,0.0003680251,0.0001872419,0.0003409729],"domain_scores_gemma":[0.999638,0.00002507042,0.00005220355,0.0001928671,7.398643e-7,0.00009115207],"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":[0.00001807656,0.00004491178,0.3982926,0.00001760497,0.000008295558,0.000008432662,0.001731585,0.0005820686,0.55367,0.00008186071,0.0003109931,0.04523363],"study_design_scores_gemma":[0.0008948075,0.0004481032,0.2443856,0.00009055437,0.00001272646,0.00001867022,0.04165688,0.01370083,0.6969112,0.001239954,0.0002235393,0.0004171517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987056,0.0002289494,0.00003600493,0.0004843102,0.00002478132,0.0003122121,0.00002621596,0.000113313,0.00006861371],"genre_scores_gemma":[0.9992721,0.0001298703,0.0003362152,0.000115147,0.00001945744,0.00003031189,0.00002173958,0.00001934778,0.00005581362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153907,"threshold_uncertainty_score":0.7150474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477206488796227,"score_gpt":0.2352478168532005,"score_spread":0.2204757519652382,"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."}}