{"id":"W3209783290","doi":"10.1021/acs.estlett.1c00697","title":"Temporal Archive of Atmospheric Microplastic Deposition Presented in Ombrotrophic Peat","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"European Regional Development Fund; Campus France; Dalhousie University; Agence Nationale de la Recherche; University of Birmingham; Carnegie Trust for the Universities of Scotland; Interreg; European Commission; Leverhulme Trust; FP7 People: Marie-Curie Actions; Labex DRIIHM","keywords":"Ombrotrophic; Peat; Environmental science; Deposition (geology); Pollution; Physical geography; Atmosphere (unit); Hydrology (agriculture); Earth science; Bog; Geology; Sediment; Geography; Ecology; Meteorology; Geomorphology; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001542809,0.0001770626,0.0001869964,0.0001093808,0.0001649952,0.000017358,0.0003951316,0.00008850592,0.0005953964],"category_scores_gemma":[0.00004772933,0.0001796418,0.00004659232,0.001277729,0.002744846,0.0002006583,0.0004979158,0.0002456634,0.0001816248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150423,"about_ca_system_score_gemma":0.00002726945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518485,"about_ca_topic_score_gemma":0.0001122502,"domain_scores_codex":[0.9981685,0.00004657359,0.0003105272,0.0005738223,0.0004018185,0.0004987704],"domain_scores_gemma":[0.999426,0.00004143553,0.0001267396,0.0003174777,0.000002217098,0.00008614236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000119235,0.0001168279,0.1912715,0.000003057215,0.000003044371,0.00005548525,0.00005941585,0.002760504,0.8047864,0.00004141499,0.000145641,0.0007448153],"study_design_scores_gemma":[0.0009594634,0.0001916108,0.5333019,0.00006680364,0.00002687487,0.0002852515,0.0002944076,0.01038987,0.4521484,0.000560144,0.001303629,0.0004715189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990627,0.00005229048,0.007906179,0.0007326344,0.0002367094,0.0001616108,0.00002236269,0.00003052215,0.0002306896],"genre_scores_gemma":[0.9901442,0.00002912859,0.009572529,0.0001601571,0.0000159419,0.00001368422,0.00001523645,0.0000111234,0.00003798202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3526379,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002668402009997668,"score_gpt":0.1742891447301649,"score_spread":0.1716207427201672,"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."}}