{"id":"W4410216728","doi":"10.1002/jat.4806","title":"Toxicological Response of the BEAS‐2B Cell After Acute Exposure at the Air–Liquid Interface to Ethylbenzene and <i>m</i> ‐Xylene Alone and in Binary Mixtures","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Toxicology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nicolet Chartrand Knoll (Canada)","funders":"Interreg; Vlaamse regering; Ministère de l'Enseignement Supérieur et de la Recherche; Université du Littoral Côte d'Opale; Région Hauts-de-France; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Agence de l'Environnement et de la Maîtrise de l'Energie","keywords":"Ethylbenzene; Xylene; Chemistry; Environmental chemistry; Chromatography; Toluene; Organic chemistry","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":[0.0001813792,0.0004680819,0.0004304174,0.0002151978,0.0002519358,0.0002887041,0.0001598305,0.0003959008,0.001290697],"category_scores_gemma":[0.0001048716,0.0001821454,0.0004021261,0.0003331393,0.0001821379,0.0002605188,0.0001930226,0.0004423403,0.0003774473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052158,"about_ca_system_score_gemma":0.0001658075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364591,"about_ca_topic_score_gemma":0.001306316,"domain_scores_codex":[0.9997064,0.00006557478,0.0000305498,0.00005554024,0.000087165,0.00005479903],"domain_scores_gemma":[0.9998999,0.0000240945,0.00002103665,0.00001139851,0.0000304358,0.00001323474],"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":[0.0001173289,0.00003539717,0.0003108917,0.00002556716,0.000006180714,0.00005469804,0.00002360431,0.00003153097,0.9990315,0.00001893448,0.00001271349,0.000331691],"study_design_scores_gemma":[0.00000876132,0.0007663119,0.01014735,0.000005352199,0.00002571274,0.0001804597,0.0001086213,0.0006754957,0.9871133,0.00002973477,0.000931546,0.000007343647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947578,0.001769262,0.001798433,0.0000822396,0.00004134786,0.00002489917,0.0004652437,0.0000279444,0.001032693],"genre_scores_gemma":[0.9892062,0.002004476,0.002940925,0.0001009738,0.00002289105,0.0001217474,0.001358976,0.00001250151,0.00423131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001364591,"threshold_uncertainty_score":0.00431788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004317155125718421,"score_gpt":0.2333668431911018,"score_spread":0.2290496880653833,"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."}}