{"id":"W4387575659","doi":"10.26434/chemrxiv-2023-qzhr8","title":"A fluorescence approach for an online measurement technique of atmospheric microplastics","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Technische Universität Wien Bibliothek; Österreichische Forschungsförderungsgesellschaft; Technische Universität Wien; Vienna Science and Technology Fund","keywords":"Microplastics; Bioaerosol; Particle (ecology); Materials science; Polyethylene; Environmental science; Polyethylene terephthalate; Aerosol; Polypropylene; Environmental chemistry; Meteorology; Chemistry; Composite material; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005568867,0.000315,0.0003693134,0.00001803563,0.00007099618,0.00002428447,0.0005291605,0.0003337576,0.00007535842],"category_scores_gemma":[0.0002690882,0.0003036439,0.0001367881,0.0001886798,0.0001992908,0.00003482839,0.0006008894,0.0003283685,0.00002343754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283862,"about_ca_system_score_gemma":0.00009331954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002005782,"about_ca_topic_score_gemma":0.00005931177,"domain_scores_codex":[0.998052,0.00003499967,0.0004478467,0.0006652378,0.0004492931,0.0003506038],"domain_scores_gemma":[0.9988729,0.00006351377,0.0003056086,0.0005583569,0.00006301246,0.0001366129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008033279,0.000754818,0.001717021,0.0007859113,0.00006038605,0.000002120745,0.0001699126,0.03243329,0.9555961,0.00005160721,0.00619191,0.002156591],"study_design_scores_gemma":[0.001189355,0.0007099903,0.01874537,0.0007753154,0.0004568582,0.00002042092,0.0001515769,0.5852476,0.3821038,0.003778503,0.004877838,0.001943414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08250979,0.00005371546,0.9146773,0.00002445786,0.0004931787,0.00151447,0.0002563272,0.0001339859,0.0003367356],"genre_scores_gemma":[0.5871699,0.00005405372,0.4118338,0.00001634716,0.0001272322,0.0002589731,0.0003150337,0.0000659846,0.0001586892],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5734923,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06602605966201298,"score_gpt":0.2468405319646138,"score_spread":0.1808144723026008,"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."}}