{"id":"W2971472862","doi":"10.1093/annweh/wxz067","title":"Development of a Job-Exposure Matrix for Assessment of Occupational Exposure to High-Frequency Electromagnetic Fields (3 kHz–300 GHz)","year":2019,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Cancer Institute; National Institutes of Health; Fifth Framework Programme; Agence Française de Sécurité Sanitaire de l'Environnement et du Travail; National Institute for Health and Care Research; Generalitat de Catalunya; European Commission; Department of Health and Aged Care, Australian Government; Cancer Society of New Zealand; International Union Against Cancer; Health and Safety Executive; Ministère de l'Enseignement Supérieur et de la Recherche; Canadian Institutes of Health Research; Association pour la Recherche sur le Cancer; Waikato Medical Research Foundation; Wellington Medical Research Foundation","keywords":"Job-exposure matrix; Occupational exposure; Exposure assessment; Population; Statistics; Mathematics; Environmental science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005752082,0.0001697099,0.0004294575,0.00006310895,0.00005456326,0.000006767655,0.0001660447,0.0002057612,0.000037268],"category_scores_gemma":[0.00004051731,0.000137627,0.0001049822,0.0001363205,0.00003707995,0.000003646839,0.00006458363,0.00008809016,4.876579e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000647808,"about_ca_system_score_gemma":0.0003342624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005171292,"about_ca_topic_score_gemma":0.00007531951,"domain_scores_codex":[0.998475,0.00006428027,0.0006211072,0.0003146127,0.0001878993,0.0003371724],"domain_scores_gemma":[0.9990825,0.00005884007,0.0002840712,0.0002449076,0.0002123536,0.000117307],"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":[0.0009248625,0.0003736957,0.1154118,0.001030709,0.0001558089,5.316527e-7,0.0002926108,0.00006957741,0.8515432,0.005162434,0.003859272,0.02117538],"study_design_scores_gemma":[0.001384591,0.05196351,0.839267,0.0002450144,0.00001838427,0.000003362791,0.0000765685,0.00000953949,0.1048139,0.0006229951,0.001255675,0.0003393719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941185,0.002713646,0.0008916579,0.001381127,0.00007138358,0.0006845366,0.00002926508,0.00000465614,0.0001051896],"genre_scores_gemma":[0.9621988,0.0004234199,0.03635927,0.0006625708,0.00006519421,0.00003339988,0.00008288985,0.00001069634,0.0001637789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7467293,"threshold_uncertainty_score":0.5612266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950942893689345,"score_gpt":0.3674033122486768,"score_spread":0.3278938833117834,"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."}}