{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007058848,0.00008942673,0.0001715982,0.000003907559,0.00004452823,0.000006031934,0.00008536888,0.00006179741,0.0005541673],"category_scores_gemma":[0.00009105541,0.00008100075,0.00002578655,0.0003011315,0.0002171449,0.00003346171,0.0001201725,0.00005349388,0.000242892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621517,"about_ca_system_score_gemma":0.00001126314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004736079,"about_ca_topic_score_gemma":0.00008000578,"domain_scores_codex":[0.9993173,0.0000161371,0.0002197191,0.0001432689,0.0001481731,0.0001554362],"domain_scores_gemma":[0.9995362,0.0001650585,0.0001108865,0.0001177139,0.000009628459,0.00006047452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003603269,0.0001150408,0.7837681,0.00006561651,0.00003101565,0.000005229907,0.0008661607,0.006645402,0.1906166,0.0003161751,0.009101912,0.008432774],"study_design_scores_gemma":[0.00048405,0.0004040914,0.8015284,0.00007934835,0.00006683161,0.000008563326,0.0008675343,0.02271119,0.1644823,0.0004489092,0.008667434,0.0002513508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998009,0.0001036899,0.00038618,0.0000318124,0.0001496167,0.00005985645,0.00003046654,0.00002124761,0.001208166],"genre_scores_gemma":[0.9982588,0.00007245885,0.001335229,0.000007111173,0.00001535304,0.000001174517,0.000005884739,0.000008888096,0.0002950513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02613427,"threshold_uncertainty_score":0.6067744,"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."}}