{"id":"W4399086329","doi":"10.3390/waste2020011","title":"Optimization of an Industrial Recycling Line: The Effect of Processing Parameters on Mechanical Properties of Recycled Polyethylene (PE) Blends","year":2024,"lang":"en","type":"article","venue":"Waste","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Soleno (Canada); Polytechnique Montréal; Université de Sherbrooke","funders":"Mitacs","keywords":"Polyethylene; Materials science; Line (geometry); Composite material; Process engineering; Pulp and paper industry; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001137967,0.0008350346,0.0008163304,0.0007819981,0.0002911421,0.001054104,0.0005264066,0.0007795224,0.0006422284],"category_scores_gemma":[0.00118904,0.0002577057,0.0005986311,0.0008033686,0.000294924,0.0007716987,0.0003662968,0.0004487108,0.0001999803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292518,"about_ca_system_score_gemma":0.0004061009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005546245,"about_ca_topic_score_gemma":0.0008047425,"domain_scores_codex":[0.9992472,0.0001734732,0.00007160691,0.0001724793,0.0002506803,0.00008464033],"domain_scores_gemma":[0.9995319,0.0001405316,0.0001885527,0.00004061919,0.00008051394,0.00001790363],"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":[0.000846513,0.001042494,0.00376691,0.00114557,0.0001014988,0.0001972765,0.00009649764,0.07104857,0.8756984,0.000379657,0.0000806848,0.04559602],"study_design_scores_gemma":[0.00006212758,0.004233403,0.01291449,0.00006406605,0.0002473501,0.0001508342,0.000169327,0.05473559,0.9253374,0.0002096428,0.001819223,0.00005666828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759541,0.001171664,0.02140414,0.00003441415,0.000008961517,0.00008085526,0.00007710688,0.00007000124,0.001198846],"genre_scores_gemma":[0.9823514,0.0005582404,0.01652161,0.00001503753,0.000002784378,0.00004418751,0.00006990743,0.0000231516,0.0004137457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001137967,"threshold_uncertainty_score":0.006018221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676233835145341,"score_gpt":0.2574672909966468,"score_spread":0.2307049526451934,"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."}}