{"id":"W2103866599","doi":"10.1158/1055-9965.epi-14-0102","title":"Occupational Exposure to Extremely Low-Frequency Magnetic Fields and Brain Tumor Risks in the INTEROCC Study","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; University of Ottawa; Montreal General Hospital; Institut National de la Recherche Scientifique; Institute of Population and Public Health","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; World Health Organization","keywords":"Percentile; Medicine; Glioma; Confidence interval; Meningioma; Odds ratio; Brain tumor; Demography; Internal medicine; Pathology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001192558,0.0002676446,0.0002202547,0.0006456926,0.0004237094,0.0005332535,0.0003709914,0.000271044,0.0009347533],"category_scores_gemma":[0.002019775,0.0002395365,0.0003541271,0.0008154328,0.0002490511,0.0002206415,0.0005806822,0.0004053902,0.0001612728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003904168,"about_ca_system_score_gemma":0.0004006913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03107676,"about_ca_topic_score_gemma":0.02953387,"domain_scores_codex":[0.9993489,0.0002649778,0.00005749684,0.000131672,0.00009608654,0.0001007006],"domain_scores_gemma":[0.9981045,0.0003138529,0.0006816604,0.000275617,0.0003221825,0.00030219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001687659,0.00002216415,0.998643,0.000009626479,0.00007327474,0.00008776951,0.0001869525,0.00002096192,0.0001876009,0.00001583582,0.00009462555,0.0004894809],"study_design_scores_gemma":[0.000007556387,0.00005163494,0.9992414,0.000007566064,0.00003797809,0.0001292463,0.0001762522,0.00004154836,0.00005179695,0.0000103437,0.000242631,0.000002086241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990115,0.0001786046,0.00006880795,0.00002870296,0.00000346205,0.000008419826,0.0003062566,0.000001203571,0.0003930539],"genre_scores_gemma":[0.9994757,0.00007712307,0.00005937609,0.00001558786,0.000003455121,0.000008284863,0.0002515719,0.000001127787,0.0001078662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03107676,"threshold_uncertainty_score":0.06179172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583019703352568,"score_gpt":0.3511780737310561,"score_spread":0.3153478766975304,"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."}}