{"id":"W3207548627","doi":"","title":"Screening, Identification and Degradation Characteristics of a PET Degrading Strain","year":2020,"lang":"en","type":"article","venue":"Molecular Microbiology Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Degradation (telecommunications); Strain (injury); Polyethylene terephthalate; Microbacterium; Materials science; Biodegradation; Polymer; Chemistry; Nuclear chemistry; 16S ribosomal RNA; Composite material; Organic chemistry; Biochemistry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003719394,0.0008636729,0.0006463293,0.000763917,0.000254813,0.0005928216,0.000341275,0.0006484193,0.0005032794],"category_scores_gemma":[0.0005363903,0.0002102783,0.0005599975,0.001054985,0.0001733424,0.0004297259,0.0005221417,0.0003322047,0.0004726911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363116,"about_ca_system_score_gemma":0.0004214072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364884,"about_ca_topic_score_gemma":0.001137643,"domain_scores_codex":[0.9992915,0.0001049986,0.0001214227,0.0001633868,0.0001950708,0.0001235632],"domain_scores_gemma":[0.9996971,0.00006035798,0.00005637798,0.00003282984,0.0001117958,0.00004156787],"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":[0.00006833691,0.0001776976,0.003354188,0.0001321124,0.000009110121,0.0002857118,0.00006717276,0.000104538,0.9920045,0.00003129116,0.00003964622,0.003725688],"study_design_scores_gemma":[0.00002783277,0.002534279,0.05933771,0.00003756147,0.0001344178,0.002871183,0.0007542448,0.001720986,0.9289961,0.0001105917,0.003430775,0.00004432141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924353,0.0007304639,0.004025588,0.0001720017,0.00003723399,0.0001606407,0.001401883,0.00004475598,0.0009920774],"genre_scores_gemma":[0.9661704,0.001375921,0.02294858,0.0001034265,0.00003986387,0.0001973146,0.005910286,0.00003918129,0.003215077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001364884,"threshold_uncertainty_score":0.002713859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596668621897326,"score_gpt":0.2825326028932986,"score_spread":0.2465659166743254,"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."}}