{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008123247,0.0001548814,0.0001902005,0.00002744295,0.0001624978,0.000006406071,0.0002041561,0.000126658,0.006284834],"category_scores_gemma":[0.00001479436,0.0001099294,0.00005192067,0.00005467712,0.0003343616,0.0002513189,0.0002073537,0.00007342049,0.007418771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308265,"about_ca_system_score_gemma":0.00001588215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854951,"about_ca_topic_score_gemma":0.00005170537,"domain_scores_codex":[0.9986184,0.0001229161,0.0002533531,0.0003011029,0.0001882331,0.0005159446],"domain_scores_gemma":[0.9993624,0.00006135099,0.00006998085,0.0002523747,0.00000268412,0.0002512023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004534833,0.002106551,0.1049184,0.00004977248,0.0001019152,0.0006090573,0.01719053,0.00006918929,0.3723506,0.02516924,0.4309891,0.04599216],"study_design_scores_gemma":[0.002032783,0.0001977464,0.1200318,0.00002483166,0.000006405918,0.000746974,0.00133405,0.00007448094,0.6458644,0.003472121,0.2256617,0.0005527549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419643,0.0003992048,0.001844728,0.02304664,0.0004184781,0.0002271442,0.000007443845,0.0001249234,0.03196717],"genre_scores_gemma":[0.9845814,0.0000221424,0.00074796,0.01345683,0.00004027964,0.00002590952,0.000002479501,0.00001642334,0.001106647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2735137,"threshold_uncertainty_score":0.9946235,"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."}}