{"id":"W4404073190","doi":"10.3390/recycling9060107","title":"Recycled Carbon Black/High-Density Polyethylene Composite from Waste Tires: Manufacturing, Testing, and Aging Characterization","year":2024,"lang":"en","type":"article","venue":"Recycling","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Carbon black; High-density polyethylene; Composite number; Polyethylene; Materials science; Carbon fibers; Composite material; Pyrolysis; Filler (materials); Accelerated aging; Low-density polyethylene; Plastic waste; Environmental science; Waste management; Pulp and paper industry; Engineering; Natural rubber","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":[0.0002588251,0.0002702706,0.0001450696,0.0004316185,0.0001905812,0.0002347109,0.0001608896,0.0003625391,0.0005805442],"category_scores_gemma":[0.0002790792,0.0001078691,0.0002060433,0.0002433695,0.0001614345,0.0002455136,0.0001161473,0.0002368158,0.0001852932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186361,"about_ca_system_score_gemma":0.0001364873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003978101,"about_ca_topic_score_gemma":0.001218131,"domain_scores_codex":[0.9998523,0.00001147882,0.000009777264,0.00002849616,0.00008093559,0.00001696569],"domain_scores_gemma":[0.9998158,0.00003192063,0.00003848498,0.00002054275,0.00007936809,0.00001394493],"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":[0.0000223039,0.00001774358,0.0006348889,0.00004392013,0.000003593986,0.00005688925,0.00003345068,0.0001540957,0.9971703,0.00001343937,0.000007225205,0.001842148],"study_design_scores_gemma":[0.000001296966,0.0001939993,0.005391807,0.000004129268,0.000009626029,0.000142603,0.00004777851,0.0005139491,0.9931267,0.000008639347,0.0005547808,0.000004691213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957088,0.0002883669,0.003413665,0.000008638644,0.000005651654,0.00002211088,0.0000767277,0.00002464401,0.0004513224],"genre_scores_gemma":[0.9915591,0.000369824,0.006630512,0.00001467,0.000002781296,0.00002113752,0.0001187771,0.00002020069,0.001262851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005805442,"threshold_uncertainty_score":0.001942158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008703129842823698,"score_gpt":0.2006397313371384,"score_spread":0.1919366014943147,"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."}}