{"id":"W2001536515","doi":"10.1260/095830503322364476","title":"Foreseeable Health Risk of Electric and Magnetic Field Residential Exposures","year":2003,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Environmental health; Medicine; Public health; Population; Business; Risk analysis (engineering); Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005686269,0.0001162436,0.0002067538,0.0000781288,0.0002892149,0.000003757068,0.00006937679,0.0000681138,0.001352546],"category_scores_gemma":[0.00005176265,0.000100322,0.00003807877,0.0000584682,0.00002316694,0.00003305501,0.00006075864,0.0001584564,0.0000215854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005798811,"about_ca_system_score_gemma":0.00004372782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012005,"about_ca_topic_score_gemma":0.0003234643,"domain_scores_codex":[0.998251,0.0006051564,0.0003356669,0.000233147,0.0002000657,0.0003750126],"domain_scores_gemma":[0.9991826,0.0002227151,0.0001903014,0.0002894834,0.000004649259,0.0001102311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004399871,0.0009227479,0.3447671,0.001222912,0.0004451657,0.00004178666,0.003584502,0.002927138,0.01295213,0.1844551,0.1713486,0.2768928],"study_design_scores_gemma":[0.00292038,0.003881247,0.3063778,0.0001463706,0.0001283242,0.000001929906,0.0006877425,0.0002643326,0.01078609,0.009402325,0.6649624,0.0004410752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495974,0.01374562,0.009443466,0.001109642,0.0005378951,0.000958556,0.000008602135,0.00004590335,0.02455297],"genre_scores_gemma":[0.9855308,0.006856712,0.0008507093,0.0007848213,0.00006506946,0.0000752159,0.000003825432,0.00001507579,0.005817749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936138,"threshold_uncertainty_score":0.9995604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009575604671834348,"score_gpt":0.2792218905447766,"score_spread":0.2696462858729423,"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."}}