{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609793,0.0001707667,0.0001563713,0.0000540534,0.0001402808,0.0001407238,0.00008221949,0.00008628906,0.0001207988],"category_scores_gemma":[0.0000510135,0.000165697,0.00002647596,0.0001175681,0.00007678925,0.0001268253,0.0001440025,0.0001754352,0.00007392866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049903,"about_ca_system_score_gemma":0.000007903633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418167,"about_ca_topic_score_gemma":0.0001304466,"domain_scores_codex":[0.9988652,0.00005047738,0.000226811,0.0004270566,0.0001815681,0.0002488722],"domain_scores_gemma":[0.9993933,0.0002814641,0.00007394596,0.0001438034,0.000004340874,0.0001031744],"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":[0.0000113417,0.0000113752,0.00814149,0.00002273435,0.00001663776,0.00002486353,0.0002711489,0.0003056561,0.9276262,0.00001214837,0.00001830991,0.06353813],"study_design_scores_gemma":[0.0003137337,0.00004814728,0.2255041,0.0006454374,0.0001042808,0.00002144628,0.00003199472,0.3057768,0.4643022,0.001251168,0.001514031,0.0004865812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914701,0.00008699511,0.006841608,0.0001066034,0.000503104,0.00008180861,0.00003751529,0.0001228781,0.0007493723],"genre_scores_gemma":[0.9977474,0.0001081735,0.001432049,0.00006391742,0.0002521113,0.000001949968,0.00005273884,0.00002503789,0.000316629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.463324,"threshold_uncertainty_score":0.6756926,"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."}}