{"id":"W2991448527","doi":"10.1289/isee.2013.p-3-21-05","title":"Interactions between occupational exposure to extremely low frequency magnetic fields and chemicals for brain tumor risk in the INTEROCC study","year":2013,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occupational exposure; Environmental health; Medicine; Risk analysis (engineering)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002663322,0.0001541066,0.0001543172,0.0000348519,0.0000634829,0.00008159499,0.0002434663,0.0001097436,0.0001017426],"category_scores_gemma":[0.000645016,0.0001056103,0.0000450857,0.00006204258,0.00004420408,0.00000958098,0.00005885997,0.0002045685,0.00001280966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006218514,"about_ca_system_score_gemma":0.00003709461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377817,"about_ca_topic_score_gemma":0.0005412317,"domain_scores_codex":[0.9989548,0.00009975147,0.0002715682,0.0003397401,0.00009048248,0.0002436239],"domain_scores_gemma":[0.9992115,0.0003133672,0.00007563824,0.000218407,0.0001002932,0.00008073294],"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":[0.0001244448,0.0004344292,0.04643364,0.00003295852,0.00003382329,0.000006119375,0.0005516503,0.0000446561,0.9173096,0.00005570818,0.004776639,0.03019636],"study_design_scores_gemma":[0.0006967284,0.007529373,0.9800963,0.00003268856,0.00002036812,0.000007099487,0.0003329507,0.0000149613,0.009536418,0.001168078,0.000344382,0.0002206476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965833,0.00008414604,0.0004054807,0.001395799,0.00004578493,0.001100662,0.00002475779,0.000007246498,0.0003528261],"genre_scores_gemma":[0.9978646,0.000009280978,0.0003951357,0.001042817,0.0001443706,0.0003825061,0.00004847681,0.000006630004,0.0001061726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9336627,"threshold_uncertainty_score":0.4306662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007968985935336,"score_gpt":0.2834711425099773,"score_spread":0.263391452650624,"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."}}