{"id":"W4387616607","doi":"10.3897/aca.6.e108084","title":"Enzymatic Degradation of PET plastic  ","year":2023,"lang":"en","type":"article","venue":"ARPHA Conference Abstracts","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polyethylene terephthalate; Degradation (telecommunications); Hydrolysis; Fourier transform infrared spectroscopy; Scanning electron microscope; Materials science; Polyethylene; Polymer; Chemistry; Cutinase; Nuclear chemistry; Composite material; Chemical engineering; Organic 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":[0.0002559898,0.0005145114,0.0003175348,0.0001860987,0.0001061017,0.0002922916,0.0001922196,0.0003142189,0.0009183707],"category_scores_gemma":[0.0003087146,0.0001306027,0.00042695,0.0004434351,0.0001476393,0.000266607,0.0002493899,0.0005063735,0.000346969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867277,"about_ca_system_score_gemma":0.0001502218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003388596,"about_ca_topic_score_gemma":0.0004144277,"domain_scores_codex":[0.9996824,0.00003931979,0.0000372621,0.00008348803,0.00009496655,0.00006248297],"domain_scores_gemma":[0.9998667,0.00002364155,0.00004879745,0.00001667363,0.00003035117,0.00001379547],"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":[0.00002174425,0.00001176087,0.0001410134,0.00005426746,0.000005251695,0.00006736552,0.00001186453,0.00009335185,0.9980202,0.00002058918,0.00001653906,0.001536067],"study_design_scores_gemma":[9.264706e-7,0.00007215395,0.0009636642,0.000004255916,0.000004298804,0.0001111069,0.00001007652,0.0001882466,0.9977884,0.000007428461,0.0008471168,0.000002367451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757435,0.002577702,0.01793596,0.00006979644,0.00005745176,0.00009767544,0.0007441021,0.00009198397,0.002681907],"genre_scores_gemma":[0.9788544,0.002271222,0.01202243,0.0000654923,0.00001252194,0.00008136304,0.001424066,0.00003846593,0.005230064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009183707,"threshold_uncertainty_score":0.003072202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275815577963624,"score_gpt":0.2299861389990344,"score_spread":0.2072279832193981,"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."}}