{"id":"W4380372785","doi":"10.3390/atmos14061007","title":"Comparison of Lichens and Mosses as Biomonitors of Airborne Microplastics","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Regione Umbria; Università degli Studi di Palermo","keywords":"Lichen; Biomonitoring; Moss; Epigeal; Environmental science; Environmental chemistry; Epiphyte; Microplastics; Bioindicator; Deposition (geology); Ecology; Chemistry; 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":[0.000592854,0.0004973936,0.0003240266,0.00155653,0.0002519022,0.0007691078,0.0001761744,0.0003422905,0.0005162755],"category_scores_gemma":[0.0008230398,0.0001599987,0.0002400336,0.0006312212,0.0002490862,0.0004381404,0.0006226502,0.00016653,0.0001932614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712092,"about_ca_system_score_gemma":0.0001434437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323308,"about_ca_topic_score_gemma":0.0065666,"domain_scores_codex":[0.9992571,0.0002587978,0.00005625566,0.000167489,0.0001780015,0.00008235388],"domain_scores_gemma":[0.9992416,0.000225082,0.000203035,0.00006131094,0.0001749253,0.00009419682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001042665,0.0001576583,0.5215428,0.000591721,0.0004155986,0.0001953759,0.0007303096,0.001274824,0.4089339,0.00008969104,0.00008611916,0.06493939],"study_design_scores_gemma":[0.00001023935,0.001135371,0.9367474,0.00005873273,0.0002192093,0.0004911918,0.0006147688,0.001522802,0.05730781,0.0000738739,0.001796552,0.00002212368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979047,0.0008170164,0.0004705088,0.000008256654,0.000003547064,0.0000100058,0.0001077074,0.000005948145,0.0006722501],"genre_scores_gemma":[0.9974003,0.0005221429,0.001358243,0.00001442025,0.000008687038,0.0000128573,0.0001965117,0.000004814029,0.0004821001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002323308,"threshold_uncertainty_score":0.004619598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327647704021958,"score_gpt":0.2696370674860354,"score_spread":0.2563605904458158,"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."}}