{"id":"W4297249032","doi":"10.1002/cssc.202201613","title":"Solid‐State Enzymatic Hydrolysis of Mixed PET/Cotton Textiles**","year":2022,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; HORIZON EUROPE Marie Sklodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrolysis; Enzymatic hydrolysis; Chemistry; Solid-state; Enzyme; Polymer science; Chemical engineering; Materials science; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750729,0.000544269,0.0001917545,0.0001569075,0.0001098608,0.0002956852,0.0001230475,0.0002255688,0.001088953],"category_scores_gemma":[0.0001561209,0.0001401952,0.0002494355,0.0002117997,0.0001426497,0.0002848504,0.0001720461,0.0003558019,0.0004015643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740808,"about_ca_system_score_gemma":0.0001319652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336873,"about_ca_topic_score_gemma":0.0006552931,"domain_scores_codex":[0.9998583,0.00002316108,0.00001224173,0.00003918594,0.00003140932,0.00003557153],"domain_scores_gemma":[0.9999106,0.00002430533,0.00002232036,0.00001401136,0.00001371407,0.00001503799],"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":[0.00003642493,0.00001034346,0.00006473913,0.00002865632,0.000004261689,0.00005040835,0.000007690502,0.00005181156,0.9985932,0.00002923316,0.00001268041,0.0011106],"study_design_scores_gemma":[0.000001529781,0.00004799245,0.0003728117,0.000002143883,0.000002904235,0.00004940085,0.000005963704,0.0002850908,0.998835,0.000008328479,0.0003874883,0.000001383681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843382,0.001031838,0.01127827,0.00006342497,0.00003414561,0.00003909665,0.0002402088,0.00007201598,0.002902785],"genre_scores_gemma":[0.9924217,0.0005242595,0.004248489,0.00001768446,0.00000608209,0.00001381429,0.0002624058,0.00002811067,0.002477571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088953,"threshold_uncertainty_score":0.003642917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006254425903801717,"score_gpt":0.2072196074002964,"score_spread":0.2009651814964947,"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."}}