{"id":"W4391684633","doi":"10.1101/2024.02.07.579132","title":"Degradation of PET Plastics by Wastewater Bacteria Engineered via Conjugation","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Wastewater; Microplastics; Degradation (telecommunications); Bacteria; Pollution; Contamination; Human health; Environmental science; Environmental chemistry; Waste management; Microbial biodegradation; Pulp and paper industry; Microorganism; Chemistry; Environmental engineering; Biology; Ecology; Computer science; 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":[0.0001616016,0.0005478431,0.0002429295,0.0001530175,0.0001062506,0.0004692159,0.0001803651,0.0003879692,0.0004559498],"category_scores_gemma":[0.0001888851,0.0001237403,0.0002598381,0.000194041,0.0001745651,0.0002007161,0.0003811634,0.0004196779,0.0002485991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233998,"about_ca_system_score_gemma":0.0001332851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000659758,"about_ca_topic_score_gemma":0.0004879925,"domain_scores_codex":[0.9997543,0.00003592335,0.00002597678,0.00005598792,0.00007909203,0.00004875675],"domain_scores_gemma":[0.9999143,0.00001482347,0.00003144078,0.00001442041,0.00001394174,0.00001107266],"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":[0.00001290748,0.00001657929,0.000156989,0.00001411053,0.000002257993,0.0000197406,0.000008769929,0.0000589263,0.9991054,0.00002723266,0.00001128139,0.0005658605],"study_design_scores_gemma":[0.000001688802,0.00007379577,0.0005533614,0.00000155019,0.00000301448,0.00004145893,0.00001135118,0.0004032591,0.998515,0.00001131726,0.0003824336,0.000001933111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943365,0.0001189463,0.004616765,0.00006497712,0.00001469799,0.00002036174,0.0001690601,0.00006025832,0.0005983628],"genre_scores_gemma":[0.9901903,0.0002015518,0.006411389,0.00003681415,0.00000374055,0.00002721852,0.0004335123,0.00003022433,0.00266524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000659758,"threshold_uncertainty_score":0.001620889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006096424831042195,"score_gpt":0.1773942436759488,"score_spread":0.1712978188449066,"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."}}