{"id":"W4313396085","doi":"10.1186/s12934-022-02007-9","title":"Development of a yeast whole-cell biocatalyst for MHET conversion into terephthalic acid and ethylene glycol","year":2022,"lang":"en","type":"article","venue":"Microbial Cell Factories","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Terephthalic acid; Polyethylene terephthalate; Yeast; Ethylene glycol; Fermentation; Saccharomyces cerevisiae; Polylactic acid; Ethylene; Enzyme; Polyester; Chemistry; Biochemistry; Catalysis; Materials science; Organic chemistry; Polymer; Composite material","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":[0.0001961125,0.0003804778,0.0002125596,0.0001838701,0.00007489228,0.0003528306,0.0002774574,0.0002163286,0.0003858603],"category_scores_gemma":[0.0001375011,0.00009242042,0.0003263054,0.0002712762,0.0000871825,0.0002155769,0.0002216344,0.0004302133,0.0003148201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850258,"about_ca_system_score_gemma":0.0002372823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008265569,"about_ca_topic_score_gemma":0.0007323858,"domain_scores_codex":[0.9999006,0.00001025324,0.00001563646,0.00002312871,0.00003776189,0.00001259738],"domain_scores_gemma":[0.999939,0.000007388765,0.00001372964,0.00000900484,0.00002082071,0.00001010005],"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":[0.00002053506,0.00004308829,0.0003239457,0.00004161284,0.000007831478,0.00004169388,0.00001100159,0.0002045685,0.9968961,0.00006850788,0.00002402088,0.002316915],"study_design_scores_gemma":[0.000004287791,0.0000957863,0.0009151406,0.000004162672,0.00001359231,0.00007002098,0.00002037309,0.001328658,0.996252,0.00001619974,0.001276804,0.000003106541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675147,0.001203869,0.02861004,0.0001528083,0.00004821349,0.00007915276,0.0008264198,0.0002369173,0.001327916],"genre_scores_gemma":[0.9697706,0.0012406,0.02559548,0.00002526783,0.000005588493,0.00003964966,0.001676712,0.00005145767,0.001594671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008265569,"threshold_uncertainty_score":0.001643479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008861292040606284,"score_gpt":0.1932785543128847,"score_spread":0.1844172622722784,"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."}}