{"id":"W2808785567","doi":"10.1097/ee9.0000000000000020","title":"Spatial variations in the estimated production of reactive oxygen species in the epithelial lung lining fluid by iron and copper in fine particulate air pollution","year":2018,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Health Canada","funders":"European Commission","keywords":"Particulates; Copper; Environmental chemistry; Pollutant; Air pollution; Environmental science; Pollution; Spatial variability; Reactive oxygen species; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003219038,0.000120031,0.0002311313,0.00004056761,0.0001367397,0.000002693187,0.0001307375,0.0001112663,0.0001532851],"category_scores_gemma":[0.0006780975,0.0000811912,0.00002081556,0.000142263,0.00071446,0.0001576818,0.00007458784,0.0002325555,0.0000280008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451415,"about_ca_system_score_gemma":0.000006904416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003433908,"about_ca_topic_score_gemma":0.001853906,"domain_scores_codex":[0.9973677,0.001369998,0.0005201782,0.0002903363,0.0001283937,0.0003233918],"domain_scores_gemma":[0.9991054,0.0004780505,0.0001862241,0.0001927582,9.464488e-7,0.00003659759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000211654,0.0003766261,0.9426292,0.00001211922,0.000005865326,0.000002708054,0.01604716,0.006931543,0.02795513,0.0002941514,0.002498432,0.003035443],"study_design_scores_gemma":[0.0003429895,0.0001962086,0.9883131,0.00001659254,0.000007574889,0.00001032703,0.0006343524,0.008233733,0.000748,0.000746067,0.0006707865,0.00008030187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781926,0.0000812681,0.0002908754,0.02071782,0.00008361935,0.0004424619,0.00002203882,0.000005092993,0.0001642497],"genre_scores_gemma":[0.997295,0.00009324762,0.0003613827,0.002078347,0.00006920431,0.00002953594,0.00004554351,0.000006068612,0.00002171635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0456839,"threshold_uncertainty_score":0.5191064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797565686828194,"score_gpt":0.3217228913279013,"score_spread":0.2737472344596194,"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."}}