{"id":"W3212985671","doi":"10.1016/j.csbj.2021.11.023","title":"New approaches for the characterization of plastic-associated microbial communities and the discovery of plastic-degrading microorganisms and enzymes","year":2021,"lang":"en","type":"review","venue":"Computational and Structural Biotechnology Journal","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biochemical engineering; Biodegradable plastic; Plastic waste; Microorganism; Computational biology; Biology; Biotechnology; Characterization (materials science); Computer science; Data science; Nanotechnology; Engineering; Bacteria; Materials science; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.000190379,0.0001933603,0.0005760092,0.00006667944,0.0004012621,0.00008783965,0.0001766392,0.0002220701,0.00001663728],"category_scores_gemma":[0.0001592907,0.0001045192,0.0001162713,0.0001173334,0.001023456,0.00007702978,0.0002114697,0.0003507469,1.429205e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141013,"about_ca_system_score_gemma":0.0000668336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002297044,"about_ca_topic_score_gemma":0.00001121331,"domain_scores_codex":[0.9990953,0.0001086997,0.0004267698,0.0001328733,0.0001037447,0.0001326125],"domain_scores_gemma":[0.9972389,0.002077126,0.000573897,0.00006437064,0.00001652446,0.0000292191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00028385,0.00004110267,0.0005838519,0.001803873,0.001962432,0.000003156668,0.001566014,0.0009880227,0.004000645,0.0658876,0.0002980044,0.9225814],"study_design_scores_gemma":[0.04265967,0.004204999,0.2258018,0.04940504,0.03461818,0.02739508,0.008802162,0.2972313,0.008919656,0.1660813,0.1260283,0.008852464],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1106828,0.7727503,0.1144153,0.0003997469,0.0005616638,0.0004709505,0.0007066936,0.00001036307,0.000002088803],"genre_scores_gemma":[0.2757641,0.7221176,0.001787146,0.00001527265,0.0000765331,0.000004120584,0.0001954269,0.00001657743,0.00002322376],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.913729,"threshold_uncertainty_score":0.4262169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336924964808434,"score_gpt":0.2238417219941119,"score_spread":0.2004724723460276,"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."}}