{"id":"W4407222076","doi":"10.3390/environments12020054","title":"Advancing Human Health Risk Assessment Through a Stochastic Methodology for Mobile Source Air Toxics","year":2025,"lang":"en","type":"article","venue":"Environments","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Human health; Environmental science; Environmental health; Risk analysis (engineering); Environmental planning; Business; Computer science; Medicine","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":[0.00350354,0.0008789205,0.0006225298,0.00136143,0.0004940187,0.001120404,0.001170186,0.0007703247,0.001885262],"category_scores_gemma":[0.008205944,0.0004351715,0.001378434,0.0007368932,0.0007128789,0.0009060191,0.001324571,0.001179731,0.0002092289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155339,"about_ca_system_score_gemma":0.002734849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928956,"about_ca_topic_score_gemma":0.01602827,"domain_scores_codex":[0.9983359,0.001024684,0.00006032663,0.0002026888,0.0003042852,0.00007205157],"domain_scores_gemma":[0.9960623,0.00276624,0.0004166614,0.0002105195,0.000467034,0.00007722839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001045603,0.0000363954,0.002231538,0.00004276012,0.00006020208,0.00005922895,0.00006166171,0.9467037,0.0007108664,0.04012718,0.0004528144,0.0095032],"study_design_scores_gemma":[0.000004333504,0.00002476296,0.0003232853,0.00001421395,0.00001326388,0.00002128703,0.00002334926,0.9817686,0.0001587913,0.01658109,0.001057545,0.000009474222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01424717,0.0002373137,0.982345,0.0003654464,0.00004987296,0.00008204504,0.0001777579,0.00008567723,0.002409649],"genre_scores_gemma":[0.6073576,0.001377397,0.3855608,0.0003333015,0.0002094383,0.0006049164,0.0005268203,0.0001011333,0.003928565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01928956,"threshold_uncertainty_score":0.03835458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06203507969981867,"score_gpt":0.4301397026047393,"score_spread":0.3681046229049206,"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."}}