{"id":"W4391030937","doi":"10.1021/jasms.3c00362","title":"Size-Resolved Identification and Quantification of Micro/Nanoplastics in Indoor Air Using Pyrolysis Gas Chromatography–Ion Mobility Mass Spectrometry","year":2024,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks; Memorial University of Newfoundland","funders":"Health Canada; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Foundation for Innovation; Suncor Energy Incorporated","keywords":"Chemistry; Ion-mobility spectrometry; Mass spectrometry; Pyrolysis; Chromatography; Pyrolysis–gas chromatography–mass spectrometry; Ion-mobility spectrometry–mass spectrometry; Gas chromatography; Ion; Gas chromatography–mass spectrometry; Environmental chemistry; Analytical Chemistry (journal); Tandem mass spectrometry; Selected reaction monitoring; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001229849,0.0001921374,0.0004213232,0.0002048533,0.0001290866,0.00006623482,0.0003103333,0.00007748567,0.00004919441],"category_scores_gemma":[0.0002848403,0.0001518142,0.0005745337,0.002233303,0.0005840284,0.0002106727,0.00007601515,0.000330092,0.000002255355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354653,"about_ca_system_score_gemma":0.0000664211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061732,"about_ca_topic_score_gemma":0.00001329696,"domain_scores_codex":[0.9980532,0.00008678841,0.0007788358,0.0003098799,0.0004716548,0.0002996271],"domain_scores_gemma":[0.9980361,0.0005886505,0.0009748955,0.0002727903,0.00004491307,0.00008257542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007991492,0.0001002077,0.02781183,0.00009502715,0.0001289606,0.000001126017,0.000150254,0.0008666495,0.9701697,0.00005952764,0.0002394485,0.0002973165],"study_design_scores_gemma":[0.0007581405,0.0004808787,0.4715346,0.000233454,0.0005327544,0.0000847703,0.001222018,0.03525437,0.4848301,0.004471396,0.0002222569,0.0003752463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8305816,0.0002666001,0.1682433,0.0002708495,0.0003113769,0.0002352389,0.00007025195,0.000009850301,0.00001093044],"genre_scores_gemma":[0.9493076,0.000256732,0.05026623,0.00003383662,0.00008775828,0.00000371036,0.000002605755,0.00002149369,0.00001998946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853396,"threshold_uncertainty_score":0.6190805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009556905445161773,"score_gpt":0.2425778320898957,"score_spread":0.2330209266447339,"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."}}