{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001106867,0.0001954831,0.0003968402,0.00009655096,0.00009314878,0.00001246115,0.0004624091,0.0002306159,0.0003609181],"category_scores_gemma":[0.0001359383,0.0001091235,0.00006374665,0.0003657251,0.0005154071,0.00006247136,0.001040238,0.0004621094,0.000008929676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607218,"about_ca_system_score_gemma":0.00006016982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004515794,"about_ca_topic_score_gemma":0.0001746585,"domain_scores_codex":[0.9983327,0.0003121151,0.0005275811,0.0002552659,0.0002424129,0.000329875],"domain_scores_gemma":[0.9987837,0.0005169256,0.0002623793,0.0002997928,0.000005082703,0.0001321354],"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":[0.01302002,0.000156806,0.001780382,0.000004857485,0.00003498365,0.00004332144,0.0009934452,0.0003939266,0.9808099,0.000003481931,0.001090854,0.001668022],"study_design_scores_gemma":[0.001104183,0.001298829,0.3870576,0.00002246774,0.00005448789,0.0001443784,0.0001856733,0.000009407783,0.6085156,0.0001368696,0.001365613,0.0001049062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889724,0.000619217,0.00003745203,0.009287249,0.0001861191,0.0003426597,0.00002234695,0.000004963505,0.000527577],"genre_scores_gemma":[0.9950447,0.00009476228,0.0003488886,0.004072176,0.00002153011,0.000009092431,4.578158e-8,0.00001173906,0.0003970321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852772,"threshold_uncertainty_score":0.4449927,"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."}}