{"id":"W4416292703","doi":"10.1016/j.chemosphere.2025.144760","title":"Assessment of chemical extracts of urban air for endocrine disruption using a serie of in vitro bioassays: a case study in Montreal, Canada","year":2025,"lang":"en","type":"article","venue":"Chemosphere","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; The Scarborough Hospital; Concordia University; McGill University; Institut National de la Recherche Scientifique; Health Canada; University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de recherche du Québec","keywords":"Endocrine system; Particulates; Bioassay; Endocrine disruptor; Androgen receptor; Human health; Air pollution; Estrogen receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006497323,0.001067277,0.0004059035,0.0008792891,0.002106428,0.001039712,0.0008656753,0.0007155471,0.0007306552],"category_scores_gemma":[0.0003783653,0.0002439279,0.0005979773,0.001342219,0.0007251018,0.0002031087,0.0005334929,0.0003807955,0.0002304722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007006532,"about_ca_system_score_gemma":0.005858428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.880117,"about_ca_topic_score_gemma":0.9570484,"domain_scores_codex":[0.9987444,0.0001157013,0.00003353717,0.0002664052,0.0006236528,0.0002163082],"domain_scores_gemma":[0.9995292,0.00004249416,0.0000388414,0.00002189113,0.0003260797,0.00004136882],"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":[0.00057844,0.0008040058,0.1350089,0.00111302,0.00037995,0.003581173,0.00252515,0.005820976,0.7918634,0.000439207,0.003004989,0.05488078],"study_design_scores_gemma":[0.00007699442,0.005688222,0.5895671,0.0001922575,0.0007324396,0.001979476,0.006189647,0.00687788,0.3454902,0.0001724334,0.04282501,0.0002083438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843426,0.002252072,0.004171607,0.0002229263,0.00003414424,0.0006748185,0.002573935,0.00006412194,0.005663754],"genre_scores_gemma":[0.9751256,0.003563527,0.007461745,0.0003752296,0.00002292526,0.0001451389,0.002428998,0.00003748474,0.01083923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.119883,"threshold_uncertainty_score":0.241178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134887549918587,"score_gpt":0.3363607097009698,"score_spread":0.3250118342017839,"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."}}