{"id":"W4412931261","doi":"10.1021/envhealth.5c00141","title":"Organoid for Air Pollution Toxicity Assessment: Advances and Environmental Applicability","year":2025,"lang":"en","type":"article","venue":"Environment & Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Organoid; Toxicity; Pollution; Chemical toxicity; Environmental science; Environmental pollution; Air pollution; Environmental chemistry; Environmental protection; Biology; Medicine; Chemistry; Ecology; Internal medicine; Neuroscience","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":[0.0011022,0.000245013,0.0003320706,0.00003905315,0.0007315003,0.00001560834,0.0001704997,0.0001123959,0.0006934832],"category_scores_gemma":[0.00002087889,0.0002431183,0.00006039509,0.00009763117,0.0004201202,0.0002983696,0.0002339877,0.0002119485,0.00006205843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567047,"about_ca_system_score_gemma":0.00006008976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001583933,"about_ca_topic_score_gemma":0.00006948211,"domain_scores_codex":[0.9976768,0.0001759373,0.0004988816,0.0006816146,0.0003241326,0.0006426349],"domain_scores_gemma":[0.9989296,0.0001197264,0.0001939608,0.0004058377,7.253934e-7,0.0003501591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003131472,0.002670895,0.4315485,0.001377236,0.00005204615,0.000001440233,0.001323149,0.004592097,0.005504534,0.003914385,0.02460613,0.5240964],"study_design_scores_gemma":[0.000836097,0.0003760102,0.5901861,0.00002118725,0.00001257603,0.000001798518,0.0002419881,0.0008643793,0.0006994892,0.003565769,0.4029566,0.0002379605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509594,0.003202019,0.1604705,0.07577326,0.0003257938,0.005166856,0.0004799311,0.0001867642,0.003435459],"genre_scores_gemma":[0.9642387,0.002238245,0.01156121,0.02100376,0.00004792462,0.0001851139,0.00007426387,0.00001842575,0.0006323234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5238584,"threshold_uncertainty_score":0.9914078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316830076052117,"score_gpt":0.3173305390980269,"score_spread":0.3041622383375057,"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."}}