{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245315,0.0001852755,0.00025045,0.0000569475,0.00007512686,0.00001136771,0.0002486403,0.000213731,0.00005234902],"category_scores_gemma":[0.001201658,0.0001276791,0.00008052343,0.000119439,0.0001020513,0.000004900366,0.00009155788,0.0001698784,0.000004064611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654435,"about_ca_system_score_gemma":0.00003591661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003486437,"about_ca_topic_score_gemma":0.001793093,"domain_scores_codex":[0.9970634,0.001625433,0.0003910014,0.000524884,0.00007136656,0.0003239209],"domain_scores_gemma":[0.9990962,0.0003914243,0.000113448,0.0002890581,0.00003822003,0.00007167238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005810809,0.0002801107,0.8252565,0.00003731164,0.00006996619,0.00000525163,0.0001339204,0.00003241293,0.1006433,0.0002663238,0.007801339,0.06489246],"study_design_scores_gemma":[0.0009502502,0.0126179,0.9814288,0.00005643009,0.00002858713,0.00001265447,0.00009098427,0.0001204835,0.0003875801,0.003416098,0.0006746784,0.0002155638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893476,0.002993879,0.002594881,0.003990957,0.000184895,0.0007403159,0.000005101297,0.000009497018,0.0001328191],"genre_scores_gemma":[0.9933443,0.00009278087,0.0006004134,0.005281935,0.0001862069,0.0003494843,0.00005181745,0.000008035254,0.000085005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561723,"threshold_uncertainty_score":0.5206602,"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."}}