{"id":"W4283460614","doi":"10.1139/as-2021-0056","title":"The power of multi-matrix monitoring in the Pan-Arctic region: plastics in water and sediment","year":2022,"lang":"en","type":"article","venue":"Arctic Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Carleton University; Government of Nunavut; Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Plastic pollution; Microplastics; Environmental science; Benthic zone; Arctic; Pollution; Sediment; The arctic; Oceanography; Water column; Marine debris; Shore; Environmental monitoring; Hydrology (agriculture); Environmental engineering; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004369094,0.0006633742,0.0005643952,0.003026179,0.001364403,0.002044954,0.0006347068,0.0006741141,0.0006550505],"category_scores_gemma":[0.002582295,0.0002550811,0.0004693206,0.003730728,0.0005293649,0.001610908,0.001544768,0.0007300577,0.0002303973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014648,"about_ca_system_score_gemma":0.002727378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05076542,"about_ca_topic_score_gemma":0.1421284,"domain_scores_codex":[0.9975919,0.0009010079,0.0001350122,0.0004537895,0.0008218422,0.00009657912],"domain_scores_gemma":[0.9960369,0.0007852698,0.000919361,0.0002788238,0.001724973,0.0002545597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004773564,0.0001055461,0.3949144,0.002359177,0.0007650277,0.0004381891,0.001360254,0.008375796,0.06380928,0.001586437,0.004066838,0.5217417],"study_design_scores_gemma":[0.00002381196,0.0006400165,0.8525789,0.001004787,0.000549692,0.00123394,0.004905225,0.01615355,0.0373908,0.004831989,0.08050736,0.0001797554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7502612,0.06676511,0.1274105,0.006263407,0.0008855002,0.000427068,0.008401301,0.0009962415,0.03858962],"genre_scores_gemma":[0.8025313,0.02420682,0.1666717,0.0006177624,0.0002582837,0.0001439377,0.001877648,0.0001266034,0.003565985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05076542,"threshold_uncertainty_score":0.1009399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452540028549923,"score_gpt":0.2379738964880209,"score_spread":0.2234484962025217,"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."}}