{"id":"W7111850104","doi":"","title":"Post-consumer recycling of PA66-GF Composites from Electrical Waste: Performance Retention through Accelerated Aging Models","year":2025,"lang":"en","type":"article","venue":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities; National Science and Technology Council; Hellenic Foundation for Research and Innovation; Ministry of Trade, Industry and Energy; Korea Evaluation Institute of Industrial Technology; National Natural Science Foundation of China","keywords":"Charpy impact test; Accelerated aging; Ultimate tensile strength; Raw material; Service life; Polyamide; Material properties; Degradation (telecommunications)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004441656,0.0003999831,0.0002425754,0.0003610847,0.0001132865,0.0002097181,0.0003560881,0.0002921793,0.0005686707],"category_scores_gemma":[0.0003053416,0.000136309,0.0005085289,0.0002440121,0.0001634842,0.0005169301,0.0001872417,0.00036377,0.0001825343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727414,"about_ca_system_score_gemma":0.0001548648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109313,"about_ca_topic_score_gemma":0.001475573,"domain_scores_codex":[0.9998598,0.00001528035,0.000009374005,0.000026602,0.00006309152,0.00002582957],"domain_scores_gemma":[0.9998525,0.00002495786,0.00005666092,0.00001717097,0.00004006259,0.000008702278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001974504,0.0001260328,0.001644861,0.0002141888,0.00001967015,0.0001906956,0.00007777798,0.0152423,0.9655067,0.0006980679,0.00008272257,0.0159994],"study_design_scores_gemma":[0.000006770145,0.0007601244,0.004238294,0.00001838937,0.00004159023,0.0001304769,0.00004169221,0.05704682,0.9355003,0.0001783962,0.002019609,0.00001754236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811829,0.001204987,0.01646482,0.00002364037,0.00001920424,0.00002489405,0.0001089341,0.00007484146,0.0008956911],"genre_scores_gemma":[0.9911506,0.001080878,0.005943489,0.00001122075,0.000004237917,0.00002985587,0.0001192373,0.00001802783,0.001642496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109313,"threshold_uncertainty_score":0.002348959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231047059045882,"score_gpt":0.2213819130266839,"score_spread":0.1982772071220957,"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."}}