{"id":"W4405718602","doi":"10.23919/emc.2005.10806377","title":"Electric Fields in the Human Body at Power-Line Frequencies","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Electric field; Electrical engineering; Line (geometry); Human body; Power (physics); Physics; Computer science; Engineering; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910987,0.000288305,0.0002925542,0.0004514681,0.0001628907,0.0005323003,0.000268752,0.0003989603,0.003898837],"category_scores_gemma":[0.0008424674,0.000110982,0.0002511198,0.0009268581,0.0003044629,0.0006548336,0.0002474092,0.0002374824,0.0007526216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162253,"about_ca_system_score_gemma":0.00008729447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004306888,"about_ca_topic_score_gemma":0.0003343424,"domain_scores_codex":[0.9998689,0.00003477358,0.000007028259,0.00002383173,0.00005711071,0.000008432109],"domain_scores_gemma":[0.999706,0.0002213481,0.00002538319,0.0000155747,0.00002612528,0.000005638045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003271461,0.0001466303,0.01188272,0.002548532,0.00009602845,0.0009669838,0.0003582325,0.5484362,0.07905892,0.03433442,0.003254813,0.3185893],"study_design_scores_gemma":[0.0001034641,0.001316409,0.0408459,0.0008051785,0.0002011169,0.007539534,0.0007822429,0.6696158,0.09247934,0.08191782,0.1042143,0.000178813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2251892,0.03875666,0.6745462,0.000487402,0.0002889411,0.0001039295,0.000732012,0.0007865538,0.05910911],"genre_scores_gemma":[0.8454075,0.0467363,0.08128863,0.0001858931,0.0002572316,0.0001069491,0.000515627,0.000122861,0.02537893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003898837,"threshold_uncertainty_score":0.01304287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0094772367951994,"score_gpt":0.219952454397165,"score_spread":0.2104752176019656,"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."}}