{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002401783,0.0001244306,0.000181934,0.00003706686,0.0001590742,0.000009435715,0.000236983,0.00001570468,0.009011999],"category_scores_gemma":[0.00005636717,0.0001267352,0.00007944721,0.0002708968,0.0001010604,0.00005062582,0.0003306811,0.0001513445,0.000279582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433683,"about_ca_system_score_gemma":0.00001732682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007768199,"about_ca_topic_score_gemma":0.00001610206,"domain_scores_codex":[0.9988603,0.00003768372,0.0002641264,0.0002343797,0.0003482446,0.0002552845],"domain_scores_gemma":[0.9994382,0.00008351736,0.0001451153,0.0002438335,0.000005280425,0.00008405204],"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":[0.00003587903,0.0001855006,0.001913207,0.00003295641,0.00003138235,0.0000220786,0.0006646574,0.01171253,0.9726159,0.00007273495,0.01059194,0.002121197],"study_design_scores_gemma":[0.001039037,0.0002270273,0.01141648,0.00001913494,0.00009575211,0.0001151332,0.0004240288,0.05497674,0.8873952,0.001519504,0.04219165,0.0005802967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925487,0.00003138228,0.0006290414,0.00005663088,0.0001786026,0.00009409081,0.00005380772,0.00002497221,0.006382785],"genre_scores_gemma":[0.9975436,0.000007877439,0.0005485235,0.00004297189,0.0000172123,0.00002212204,0.00002125705,0.00001432721,0.001782085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08522071,"threshold_uncertainty_score":0.9918939,"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."}}