{"id":"W2485310668","doi":"10.1177/147776061002600201","title":"Understanding the Regeneration of EPDM Rubber Crumbs from Used Tyres","year":2010,"lang":"en","type":"article","venue":"Progress in Rubber Plastics and Recycling Technology","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Thetford; Université Laval","funders":"Centre québécois sur les matériaux fonctionnels","keywords":"Materials science; Natural rubber; Plastics extrusion; Composite material; Swelling; Mixing (physics); Particle size; Particle (ecology); Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002623379,0.0001232057,0.000206497,0.0001460211,0.000163499,0.00006852469,0.0002651695,0.0002328281,0.00003229893],"category_scores_gemma":[0.00009228369,0.00007942077,0.00002216513,0.0001786275,0.0006778681,0.00006465901,0.0001664664,0.0002953556,0.000003891776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001359391,"about_ca_system_score_gemma":0.00002480508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005158726,"about_ca_topic_score_gemma":0.000241244,"domain_scores_codex":[0.9990543,0.00003703878,0.0003066929,0.000242858,0.0001270961,0.0002319759],"domain_scores_gemma":[0.9993039,0.0002415184,0.0001479943,0.0002493515,0.00003115506,0.00002606449],"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":[0.00006389451,0.00007294424,0.1159503,0.00003069057,0.00001865464,0.000006518562,0.0005407105,0.00006194329,0.8525465,0.02367776,0.00003791028,0.00699214],"study_design_scores_gemma":[0.0005472077,0.0001112104,0.001829354,0.0001324186,0.00003472062,0.00001555769,0.0002337828,0.008519566,0.9431223,0.04452251,0.0007109858,0.0002203843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931806,0.002043145,0.002246239,0.001490144,0.0007435934,0.0001439986,0.00001713752,0.00007196238,0.00006316037],"genre_scores_gemma":[0.9933321,0.000110404,0.006412312,0.0000168294,0.00007097551,0.00002266651,0.000003770881,0.00001351887,0.00001740374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114121,"threshold_uncertainty_score":0.3238685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404398036094589,"score_gpt":0.2597305290219544,"score_spread":0.2192907254124955,"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."}}