{"id":"W4406026647","doi":"10.1007/s10661-024-13558-2","title":"Microbial volatile organic compounds measured in the air of a waste sorting plant and a university by thermal desorption-gas chromatography-tandem mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Institut National de Santé Publique du Québec; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Chemistry; Environmental chemistry; Volatile organic compound; Thermal desorption; Contamination; Butyl acetate; Gas chromatography–mass spectrometry; Chromatography; Triclosan; Mass spectrometry; Desorption; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741693,0.0005248924,0.0006447493,0.001003949,0.00182623,0.001187594,0.0003987451,0.0009299868,0.00110087],"category_scores_gemma":[0.0004552809,0.0002512189,0.0004355797,0.0007101998,0.0005149993,0.0005141101,0.0005056756,0.0005561687,0.0003136801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382523,"about_ca_system_score_gemma":0.0007859137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008236402,"about_ca_topic_score_gemma":0.009768758,"domain_scores_codex":[0.9994329,0.00007856017,0.00003363655,0.0001138081,0.0002333299,0.0001078725],"domain_scores_gemma":[0.9996841,0.00009919269,0.00005047108,0.00001175237,0.00009134104,0.00006318736],"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":[0.001083972,0.0004905236,0.1377421,0.0001045331,0.00009225634,0.0007522978,0.001320454,0.0009958047,0.8400494,0.0001592708,0.0002603591,0.01694913],"study_design_scores_gemma":[0.00004073647,0.001255422,0.4637579,0.00002533457,0.0001181577,0.0008807115,0.004503248,0.009468944,0.5173555,0.0002845616,0.002224387,0.00008511342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981312,0.00005867983,0.0009782403,0.00004056993,0.000009911151,0.00001118713,0.0002537876,0.00002799601,0.000488614],"genre_scores_gemma":[0.9968473,0.00007116078,0.001636,0.00003666507,0.000009058258,0.00001210598,0.0003330142,0.00001534469,0.001039309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008236402,"threshold_uncertainty_score":0.01637691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006090071116041046,"score_gpt":0.2058146688930339,"score_spread":0.1997245977769929,"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."}}