{"id":"W3185683441","doi":"10.1002/etc.5173","title":"Are We Underestimating Anthropogenic Microfiber Pollution? A Critical Review of Occurrence, Methods, and Reporting","year":2021,"lang":"en","type":"review","venue":"Environmental Toxicology and Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Microfiber; Synthetic fiber; Environmental science; Biota; Pollution; Environmental chemistry; Natural (archaeology); Environmental pollution; Biochemical engineering; Fiber; Ecology; Chemistry; Environmental protection; Biology; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005629204,0.0003527513,0.00131613,0.000016316,0.0001734013,0.00001278134,0.000115958,0.0003894577,0.004295073],"category_scores_gemma":[0.0008183634,0.0003227738,0.0001843561,0.0000997466,0.001126063,0.00004372306,0.0004972965,0.0004261003,0.00001376884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485423,"about_ca_system_score_gemma":0.00003781869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002195744,"about_ca_topic_score_gemma":5.099065e-7,"domain_scores_codex":[0.9975415,0.0002114887,0.001177618,0.0006256354,0.000144844,0.0002988622],"domain_scores_gemma":[0.9975423,0.0004043935,0.001651642,0.0002488114,0.000002305557,0.0001505697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005480439,0.0003604756,0.0007858503,0.1268712,0.0002254523,0.0002048057,0.0000462798,0.000002843973,0.01775207,0.00002066942,0.004646578,0.8490784],"study_design_scores_gemma":[0.0002056591,0.00004845643,0.0003517732,0.06721412,0.001664892,0.003375161,0.0001285876,0.00003114968,0.002575995,0.0001017181,0.9234295,0.000872981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004771946,0.9982494,0.000364581,0.00007600753,0.00009804675,0.0001758628,0.0003103562,0.000009074746,0.0002394704],"genre_scores_gemma":[0.0003566096,0.9944447,0.004836829,0.00008629883,0.00003307429,0.00002113649,0.00009632384,0.00001617063,0.0001088873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9187829,"threshold_uncertainty_score":0.9999225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06773881666464977,"score_gpt":0.384267422649923,"score_spread":0.3165286059852733,"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."}}