{"id":"W2559007831","doi":"10.1111/exd.13257","title":"Bad air gets under your skin","year":2016,"lang":"en","type":"article","venue":"Experimental Dermatology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"NIHR Newcastle Biomedical Research Centre; Newcastle University; National Institutes of Health; Innovate UK; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Air pollution; Environmental health; Air pollutants; Pollution; Pollutant; Epidemiology; Environmental pollution; Medicine; Environmental science; Environmental protection; Pathology; Biology; Ecology","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":[0.0005083421,0.000352877,0.0003349638,0.0004334393,0.0008887931,0.001465704,0.0002280981,0.001258903,0.01712936],"category_scores_gemma":[0.00126657,0.0001304554,0.0004403054,0.0002317479,0.001458485,0.00122165,0.0007655808,0.002140122,0.002778234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003849229,"about_ca_system_score_gemma":0.0003937173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008214829,"about_ca_topic_score_gemma":0.001006168,"domain_scores_codex":[0.9994591,0.0002147388,0.00002012742,0.00006886779,0.0001716931,0.00006551011],"domain_scores_gemma":[0.9995053,0.0001176458,0.00009496945,0.00008116494,0.00009957109,0.0001013639],"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":[0.001822414,0.001952867,0.03113601,0.006198636,0.0003770911,0.005422759,0.004048724,0.0002567918,0.1710564,0.03520031,0.2524464,0.4900816],"study_design_scores_gemma":[0.0001906575,0.004505799,0.0935651,0.003350319,0.0003332577,0.03390565,0.01209259,0.0003176655,0.06748582,0.02136151,0.7627776,0.0001139661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4332744,0.136842,0.007211037,0.1605541,0.01941566,0.0003009666,0.001389408,0.0009845294,0.2400279],"genre_scores_gemma":[0.8177403,0.08205294,0.003797731,0.04382251,0.003370074,0.00009285432,0.0003710001,0.00008855431,0.04866413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01712936,"threshold_uncertainty_score":0.05730343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654753602145465,"score_gpt":0.3336185259022017,"score_spread":0.297070989880747,"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."}}