{"id":"W3003313462","doi":"10.1016/j.scitotenv.2020.136973","title":"Moss as a biomonitor for the atmospheric deposition of anthropogenic microfibres","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Environmental Protection Agency","keywords":"Moss; Environmental science; Deposition (geology); Environmental chemistry; Microplastics; Particulates; Pollutant; Atmospheric sciences; Ecology; Chemistry; Geology; Biology; Sediment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003837647,0.000393923,0.0001925217,0.0007883906,0.0004129363,0.0005139917,0.0001739164,0.0004011392,0.0003310895],"category_scores_gemma":[0.0002434398,0.0001472657,0.0001520854,0.0003177695,0.0002784514,0.0002887818,0.0002684184,0.0002926334,0.0001307755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810763,"about_ca_system_score_gemma":0.000448999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008982809,"about_ca_topic_score_gemma":0.02810349,"domain_scores_codex":[0.9998374,0.00004489683,0.000006642853,0.00003715425,0.00005420376,0.00001961315],"domain_scores_gemma":[0.9997931,0.00003669228,0.00003955361,0.0000119578,0.00006395783,0.00005472486],"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":[0.0004407889,0.00004681046,0.07620209,0.0001937923,0.00008496772,0.0001448218,0.0001416085,0.0005999687,0.9064699,0.0002770258,0.0001096877,0.01528853],"study_design_scores_gemma":[0.0000302903,0.001576279,0.4587832,0.0001212964,0.000232932,0.001177803,0.0008685529,0.008916692,0.5197982,0.0007642118,0.007677438,0.00005302994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895529,0.003829886,0.004357289,0.00006906597,0.00002971499,0.00002400672,0.000306104,0.00003072967,0.001800334],"genre_scores_gemma":[0.9899038,0.001809263,0.006766709,0.00003185005,0.00001395495,0.0000103011,0.0001156708,0.00000542626,0.001343157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008982809,"threshold_uncertainty_score":0.01786107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559641530738236,"score_gpt":0.2099537937001849,"score_spread":0.2013941521694467,"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."}}