{"id":"W4311391162","doi":"10.3390/biology11121815","title":"Lichen Biomonitoring of Airborne Microplastics in Milan (N Italy)","year":2022,"lang":"en","type":"article","venue":"Biology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Biomonitoring; Biology; Microplastics; Lichen; Environmental chemistry; Ecology","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":[0.0001350955,0.0002767652,0.0001949501,0.0006924843,0.0002655631,0.0004229592,0.0001335702,0.0002010099,0.0006141531],"category_scores_gemma":[0.0001460452,0.0001030882,0.0001225327,0.0004122489,0.00018951,0.0001701949,0.0002496866,0.0001022325,0.0001668358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916563,"about_ca_system_score_gemma":0.0001444842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033271,"about_ca_topic_score_gemma":0.01480185,"domain_scores_codex":[0.9998374,0.00003358486,0.000006591497,0.00005374616,0.00004657552,0.0000220799],"domain_scores_gemma":[0.9999038,0.00001464904,0.00004323585,0.000008906648,0.00001662344,0.00001278274],"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":[0.00063016,0.0001860018,0.4341278,0.0004851403,0.0001293907,0.0006967344,0.001952077,0.001918958,0.5034835,0.0001141189,0.0003005914,0.05597545],"study_design_scores_gemma":[0.000004074346,0.0001977037,0.9900759,0.0000103212,0.00002247813,0.0002205409,0.0002255607,0.000245421,0.007732227,0.00001895986,0.001241769,0.000005009233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987969,0.0002160339,0.0001638695,0.00000545019,0.000001356271,0.000007236391,0.00006407129,0.000009097977,0.0007360449],"genre_scores_gemma":[0.9988875,0.0001435613,0.0003334479,0.000008553193,0.000003084969,0.000009685255,0.00009445431,0.000004162805,0.0005154461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005033271,"threshold_uncertainty_score":0.01000798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009417372622998632,"score_gpt":0.2213577171358131,"score_spread":0.2119403445128145,"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."}}