{"id":"W4389943859","doi":"10.1002/exp.20230018","title":"Catalytic and biocatalytic degradation of microplastics","year":2023,"lang":"en","type":"article","venue":"Exploration","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Canada First Research Excellence Fund","keywords":"Microplastics; Context (archaeology); Environmental science; Degradation (telecommunications); Pollutant; Biochemical engineering; Pollution; Environmental chemistry; Chemistry; Ecology; Computer science; Biology; 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":[0.0003372367,0.0004330517,0.0002515201,0.0004778992,0.0001767554,0.0004593935,0.0003291204,0.0004268755,0.0003897965],"category_scores_gemma":[0.0003333163,0.0001303422,0.0004011685,0.0003095271,0.0002937831,0.0003719797,0.000319939,0.0004445068,0.0001928991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503235,"about_ca_system_score_gemma":0.0002717569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000764732,"about_ca_topic_score_gemma":0.001356734,"domain_scores_codex":[0.9996355,0.00005542656,0.00002942638,0.00006527259,0.0001551044,0.00005927129],"domain_scores_gemma":[0.9999149,0.00001877154,0.00002151953,0.00000841895,0.00002673685,0.000009685052],"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":[0.00005037825,0.00004965812,0.0003650864,0.0009812997,0.00002221971,0.0002280379,0.00005781951,0.0009346586,0.9610234,0.003307398,0.0003452732,0.03263473],"study_design_scores_gemma":[0.00000226427,0.0001479838,0.001346222,0.00005987639,0.00002090165,0.0004786164,0.00004183548,0.002642001,0.9789859,0.0004583828,0.01580236,0.00001377529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7117779,0.1689104,0.08623163,0.001171514,0.0005097535,0.0001653985,0.0003703436,0.0001796897,0.03068333],"genre_scores_gemma":[0.9385592,0.03755396,0.01834652,0.0002122003,0.0001208988,0.00004902981,0.0002114793,0.0000220436,0.004924615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000764732,"threshold_uncertainty_score":0.003267348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115060218780959,"score_gpt":0.2204175848005863,"score_spread":0.1992669826127767,"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."}}