{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005027707,0.00006961025,0.0001069994,0.00004783235,0.00009109903,0.00001988827,0.0001321656,0.0000518544,0.0002242154],"category_scores_gemma":[0.000280586,0.00006897767,0.00002065187,0.0002100027,0.000319896,0.00003709823,0.0001551291,0.0001717409,0.00006017932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297394,"about_ca_system_score_gemma":0.00001187816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004025875,"about_ca_topic_score_gemma":0.000006671885,"domain_scores_codex":[0.9990644,0.000183356,0.0001940356,0.0002493644,0.00009564608,0.0002131713],"domain_scores_gemma":[0.9996585,0.00007527086,0.00006684477,0.00009884485,0.0000218755,0.00007862977],"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":[0.00002041838,0.00001250376,0.004541363,0.00001241308,0.000007759695,0.00001050648,0.0001024556,0.00001298289,0.9894423,0.0002247881,0.0002951257,0.005317328],"study_design_scores_gemma":[0.001058807,0.0006442165,0.1871124,0.00006324746,0.00005186101,0.0002332871,0.0002301136,0.01717897,0.7817618,0.0006928173,0.01047431,0.0004981903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457967,0.00003884285,0.05330347,0.0004579704,0.00002087047,0.0001386367,0.0001297816,0.000008111598,0.0001056262],"genre_scores_gemma":[0.9975169,0.0000186888,0.002218517,0.00006742959,0.00001054459,0.0000037619,0.0001045917,0.000007424347,0.00005213436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076806,"threshold_uncertainty_score":0.2812828,"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."}}