{"id":"W2045706639","doi":"10.1021/es201664h","title":"Environmental Impact of Pyrolysis of Mixed WEEE Plastics Part 1: Experimental Pyrolysis Data","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"European Social Fund","keywords":"Pyrolysis; Raw material; Polymer; Materials science; Waste management; Methane; Polyethylene; Polycarbonate; Pyrolysis oil; Chemical engineering; Organic chemistry; Chemistry","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":[0.0004474706,0.000731662,0.0005489952,0.0009156312,0.0008195458,0.0003560659,0.0003310567,0.0004057275,0.002876935],"category_scores_gemma":[0.0005433207,0.0002749101,0.0006173751,0.001000013,0.0003719139,0.0004242682,0.0004031319,0.0005229777,0.0003942479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005227622,"about_ca_system_score_gemma":0.0002894839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671085,"about_ca_topic_score_gemma":0.003568871,"domain_scores_codex":[0.99955,0.00006489417,0.00005983266,0.00008683072,0.0001686775,0.00006972488],"domain_scores_gemma":[0.9994065,0.0002767555,0.00008665404,0.00006426391,0.0001329012,0.00003299441],"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":[0.00459723,0.001205655,0.03255948,0.00069398,0.0002033983,0.000399958,0.0001784445,0.01966376,0.9282306,0.0001993886,0.000181418,0.01188669],"study_design_scores_gemma":[0.00006632575,0.002007056,0.03214485,0.00001363079,0.00008516443,0.0001649177,0.0001174656,0.002780969,0.9615634,0.000081866,0.0009419322,0.00003245593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973584,0.000174337,0.0004282856,0.00000468082,0.00000256639,0.00002850677,0.001261604,0.000008681704,0.0007329748],"genre_scores_gemma":[0.9966068,0.0004033375,0.001064396,0.000008474549,0.000004234606,0.00005962292,0.001306924,0.00001347624,0.0005325459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002876935,"threshold_uncertainty_score":0.009624302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469886886023988,"score_gpt":0.2532406182785317,"score_spread":0.2285417494182918,"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."}}