{"id":"W2533949171","doi":"10.1016/j.toxlet.2016.07.117","title":"Urban particulate matter toxicity and the influence of soil and polycyclic aromatic hydrocarbon content","year":2016,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Particulates; Environmental science; Metropolitan area; Standard deviation; Human health; Exposure assessment; Environmental chemistry; Atmospheric sciences; Meteorology; Statistics; Chemistry; Geography; Environmental health; Mathematics; Ecology; Geology; Biology","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":[0.0001171581,0.00009035061,0.0001586773,0.00002833373,0.00003874388,0.000006625227,0.00006518631,0.00004703254,0.0000110728],"category_scores_gemma":[0.00001301666,0.00004838177,0.00001939546,0.00003633549,0.0003178481,0.0000696644,0.00002941598,0.00006763935,0.00001019447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001145018,"about_ca_system_score_gemma":0.000002374863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001195805,"about_ca_topic_score_gemma":0.000005198236,"domain_scores_codex":[0.9994844,0.00003486095,0.0001686984,0.00009267587,0.0000487616,0.0001705777],"domain_scores_gemma":[0.9996509,0.0001261975,0.00003344527,0.0001400896,0.000002083056,0.00004729017],"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":[0.00003143489,0.000009129215,0.08185477,0.00002913784,0.00003927122,0.000002869282,0.000386361,0.0004507515,0.915426,0.00002824307,0.0009350471,0.0008070582],"study_design_scores_gemma":[0.002784377,0.00006049731,0.9103723,0.000136422,0.00004570618,0.00005770159,0.00002231613,0.01008238,0.07568889,0.0001619575,0.0003580146,0.0002294007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933175,0.0001366526,0.00005304745,0.006227262,0.00004584493,0.00009740939,0.000001105037,0.00002959549,0.0000915799],"genre_scores_gemma":[0.997914,0.00005750094,0.00002362216,0.001923379,0.00001839385,0.00001574117,1.323702e-7,0.000008490085,0.00003870656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8397371,"threshold_uncertainty_score":0.1972951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008295473906356939,"score_gpt":0.1916358732364598,"score_spread":0.1833403993301028,"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."}}