{"id":"W4414488811","doi":"10.1021/acsestwater.5c00080","title":"Fractionation of Anthropogenic Particles (Microplastics and Microfibers) along a 2200 km Transect of Canadian Sediments","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Arts and Sciences; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Crown-Indigenous Relations and Northern Affairs Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada; University of Toronto; ArcticNet","keywords":"Transect; Microplastics; Bay; Arctic; Settling; Fractionation; Pollution; Sediment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001090599,0.00008750554,0.0001119045,0.0001440461,0.00008166066,0.000009469459,0.00006502437,0.000065291,0.0003911082],"category_scores_gemma":[0.00001655986,0.00007121998,0.00002436867,0.0001721338,0.0001719149,0.00007443002,0.00003185262,0.0000546784,0.00003380654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006499388,"about_ca_system_score_gemma":0.00002865015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03517382,"about_ca_topic_score_gemma":0.02349216,"domain_scores_codex":[0.9993009,0.00002442079,0.0002175838,0.0001509656,0.0001061583,0.0001999976],"domain_scores_gemma":[0.9997413,0.0000485351,0.00004219947,0.00009318133,0.00001396156,0.00006081281],"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":[0.00002892186,0.00003790206,0.03901265,0.00002290252,0.00003525862,0.000002221059,0.0004569327,0.0004445107,0.9570301,0.000137316,0.0009272147,0.001864117],"study_design_scores_gemma":[0.0003864803,0.00004379309,0.0868616,0.00002839395,0.00005499013,0.000005210788,0.0000491493,0.0007227013,0.9035997,0.0002590916,0.007893471,0.00009545277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978549,0.00004467933,0.001169262,0.0002365099,0.0001704302,0.00009455552,0.00008835326,0.000004709732,0.0003366387],"genre_scores_gemma":[0.9991946,0.00005479114,0.0005183396,0.00007383461,0.000006811957,0.000001975902,0.0000219848,0.000005491233,0.0001221743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05343039,"threshold_uncertainty_score":0.9943265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006661735746168885,"score_gpt":0.2009635850448632,"score_spread":0.1943018492986943,"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."}}