{"id":"W7018424193","doi":"","title":"Degradation of Polyethylene Terephthalate (PET) and Polyamide (PA)","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Canada First Research Excellence Fund","keywords":"Microplastics; Degradation (telecommunications); Plastic waste; Polyethylene terephthalate; Polyethylene; Polymer; Hydrolytic degradation; Plastic pollution; Polyamide","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001867637,0.0001983627,0.0001279644,0.0001375434,0.00009165677,0.0002820026,0.0001217776,0.0002424431,0.0007580792],"category_scores_gemma":[0.0003036582,0.00008642165,0.0002822947,0.0002004172,0.0001061304,0.0003243746,0.00009051771,0.0003290824,0.0002161414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853211,"about_ca_system_score_gemma":0.0001337747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004547685,"about_ca_topic_score_gemma":0.000820708,"domain_scores_codex":[0.9998398,0.00001706576,0.00001290324,0.00003992242,0.00007019604,0.000020114],"domain_scores_gemma":[0.9998288,0.00005369528,0.00006581293,0.00001113644,0.0000323114,0.000008227154],"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":[0.00007634001,0.0000676048,0.001392176,0.0002730995,0.00001118199,0.0001089537,0.00004854929,0.0007874929,0.9862189,0.0001567411,0.0001105081,0.0107485],"study_design_scores_gemma":[0.000001137805,0.0003827222,0.004093758,0.00001371108,0.000008494056,0.00012451,0.00002569933,0.0005609494,0.9930772,0.00001985595,0.00168695,0.000005057426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850903,0.005349124,0.005901698,0.00007598492,0.00004211685,0.0000539546,0.0003742305,0.00003949761,0.003073026],"genre_scores_gemma":[0.9782441,0.005939005,0.007678899,0.00006013638,0.00001311944,0.00006364813,0.0005285314,0.00002022634,0.007452379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007580792,"threshold_uncertainty_score":0.002536058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005834124486324436,"score_gpt":0.1793737144622541,"score_spread":0.1735395899759297,"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."}}