{"id":"W4324137930","doi":"10.1136/oem-2023-epicoh.48","title":"O-209 A quantitative solar ultraviolet radiation job-exposure matrix for the general working population of Europe (UVR EuroJEM)","year":2023,"lang":"en","type":"article","venue":"Abstracts","topic":"Human Health and Disease","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"Gentofte Hospital; Universiteit van Amsterdam; Universität Osnabrück; Amsterdam University Medical Centers","keywords":"Job-exposure matrix; Dosimeter; sed; Skin type; Ultraviolet radiation; Sunlight; Medicine; Environmental science; Population; Environmental health; Atmospheric sciences; Animal science; Geography; Physics; Chemistry; Biology; Internal medicine; Nuclear medicine; Optics; Dosimetry; Dermatology","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":[0.006349548,0.0006373051,0.0014015,0.007839424,0.0002925124,0.001106143,0.0008271612,0.0005184587,0.01101767],"category_scores_gemma":[0.01090794,0.0003175857,0.004365177,0.006732508,0.0002819007,0.000695825,0.001603523,0.0003861538,0.001215627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006851648,"about_ca_system_score_gemma":0.001535752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344005,"about_ca_topic_score_gemma":0.007688695,"domain_scores_codex":[0.9952623,0.001651779,0.001701498,0.0003735981,0.0009199417,0.00009093025],"domain_scores_gemma":[0.9930444,0.003187542,0.002327207,0.0002399614,0.001101589,0.00009918366],"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":[0.004195048,0.0003303335,0.1835607,0.3191025,0.01796425,0.0004904729,0.001552887,0.003118173,0.004890384,0.004142084,0.07276832,0.3878849],"study_design_scores_gemma":[0.0009885285,0.0009838213,0.7686359,0.03936477,0.008539074,0.0007473898,0.001339332,0.001204478,0.001119031,0.001499425,0.1754642,0.0001141035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1811709,0.09359378,0.0212862,0.001651687,0.0007347203,0.01047118,0.678619,0.0006744564,0.01179803],"genre_scores_gemma":[0.4825465,0.03345385,0.08003817,0.001245471,0.0002900433,0.02171678,0.3732781,0.0001665726,0.007264544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01101767,"threshold_uncertainty_score":0.03685778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248268886726184,"score_gpt":0.3746001670575847,"score_spread":0.3121174781903229,"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."}}