{"id":"W4392603317","doi":"10.1139/as-2023-0041","title":"The utility of monitoring snow for microplastics in the Arctic: a pilot study from Iqaluktuuttiaq, Nunavut","year":2024,"lang":"en","type":"article","venue":"Arctic Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada; University of Toronto","funders":"Northern Contaminants Program","keywords":"Microplastics; Snow; Environmental science; Arctic; Transect; Plastic pollution; Contamination; Pollution; Wildlife; Sampling (signal processing); Physical geography; Oceanography; Ecology; Geography; Geology; Meteorology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00217067,0.0001269285,0.0001110135,0.00004497213,0.0004523511,0.000198561,0.0008126138,0.00001861028,0.0000948475],"category_scores_gemma":[0.001529406,0.0000728386,0.00003447209,0.0007943732,0.0007866522,0.0001673232,0.0002087891,0.0001859066,0.0000517908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413019,"about_ca_system_score_gemma":0.00008799286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260449,"about_ca_topic_score_gemma":0.001361078,"domain_scores_codex":[0.9982067,0.00008090792,0.0002975325,0.000429364,0.0005909821,0.0003945302],"domain_scores_gemma":[0.9961505,0.003298771,0.00006296128,0.0004012176,0.00002660982,0.00005992206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002784025,0.001349854,0.8195838,0.00007811056,0.00004740388,0.00002893961,0.01362147,0.001067387,0.1334915,0.001622263,0.0007876985,0.02804308],"study_design_scores_gemma":[0.0003088242,0.0006896705,0.9424708,0.0001248208,0.00005036887,0.00000967547,0.001966102,0.04411551,0.003451836,0.005608816,0.001042602,0.0001609802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932396,0.0001217984,0.004330866,0.0002435719,0.00123511,0.0005286628,0.00003032121,0.00001361552,0.000256385],"genre_scores_gemma":[0.9989788,0.00002056429,0.0008225022,0.00002371962,0.0000725378,0.00003908425,7.392894e-7,0.000006989718,0.00003507222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1300397,"threshold_uncertainty_score":0.3937227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223721336225248,"score_gpt":0.2750943801646933,"score_spread":0.2428571668024408,"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."}}