{"id":"W3179835754","doi":"10.1371/journal.pone.0250346","title":"Domestic laundry and microfiber pollution: Exploring fiber shedding from consumer apparel textiles","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada; Ministerio de Economía y Competitividad","keywords":"Laundry; Microfiber; Clothing; Fiber; Pulp and paper industry; Business; Food science; Chemistry; Materials science; Waste management; Composite material; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003341731,0.0005388157,0.0005307414,0.0007286599,0.000329455,0.0005769254,0.0002025307,0.0004290038,0.0009833851],"category_scores_gemma":[0.0003211266,0.0002066218,0.0004483071,0.0004893398,0.0003214675,0.0003765314,0.0003456564,0.0003743207,0.0002515223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193736,"about_ca_system_score_gemma":0.0001594554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406743,"about_ca_topic_score_gemma":0.005875649,"domain_scores_codex":[0.9996682,0.00003147827,0.00001641031,0.0001068418,0.0001140579,0.00006298835],"domain_scores_gemma":[0.9997477,0.00004404218,0.00008248079,0.00001379697,0.00008104398,0.00003098308],"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":[0.00052887,0.0002344341,0.1163167,0.000416575,0.00008399641,0.0003272205,0.0009244333,0.0003087319,0.8630151,0.00003858604,0.00009116002,0.01771429],"study_design_scores_gemma":[0.000006495703,0.001478227,0.8542731,0.00004961288,0.00008438856,0.0005810488,0.001439478,0.001570506,0.1389218,0.00006443639,0.001503301,0.00002763138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986612,0.0003694063,0.0004323711,0.00001118327,0.00000394213,0.00001531219,0.0001539871,0.000004648581,0.0003479445],"genre_scores_gemma":[0.9954205,0.0006356771,0.002100874,0.00004489313,0.000008261635,0.00003272339,0.0004046324,0.00001372866,0.001338677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002406743,"threshold_uncertainty_score":0.004785419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017569276642523,"score_gpt":0.2063208058609536,"score_spread":0.1661451130945283,"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."}}