{"id":"W2894629861","doi":"10.1109/jsen.2018.2873909","title":"Evaluation of Near-Field Electromagnetic Shielding Effectiveness at Low Frequencies","year":2018,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"Coventry University","keywords":"Electromagnetic shielding; Shields; Attenuation; Acoustics; Electromagnetic interference; Eddy current; Electromagnetic field; Magnetic field; Conducted electromagnetic interference; Electromagnetic reverberation chamber; Coupling (piping); Materials science; Electronic engineering; Optics; Electrical engineering; Physics; EMI; Engineering; Mechanical engineering","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":[0.0004966037,0.0004347992,0.0002394525,0.0006303098,0.0001571004,0.0002631758,0.0002821061,0.0003979328,0.0006273635],"category_scores_gemma":[0.001341488,0.0001119856,0.0001297112,0.0003309418,0.0003348288,0.0003823366,0.0002913023,0.0001392911,0.0002210947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262515,"about_ca_system_score_gemma":0.0001153068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000248518,"about_ca_topic_score_gemma":0.000442284,"domain_scores_codex":[0.9997321,0.00005691055,0.00001328018,0.00003019207,0.0001410128,0.00002661855],"domain_scores_gemma":[0.9991118,0.000439223,0.0001436896,0.00006760456,0.0002067449,0.00003094911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005247472,0.00008355799,0.007034963,0.0002103416,0.00002643058,0.0002493121,0.0002319137,0.01109321,0.9310162,0.0005238426,0.0001129186,0.04889255],"study_design_scores_gemma":[0.00001533715,0.001253114,0.02313429,0.00003001591,0.00007063382,0.0007177957,0.0002117826,0.05382901,0.9190907,0.0002703978,0.001345907,0.00003105602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297076,0.0004221375,0.06744968,0.00002052461,0.00001525911,0.00003096432,0.00005684396,0.0002420773,0.00205474],"genre_scores_gemma":[0.9844918,0.0002249798,0.01473063,0.000009759544,0.000003666946,0.00001626829,0.00004547645,0.00001589739,0.0004616741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006303098,"threshold_uncertainty_score":0.002626359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389023181680644,"score_gpt":0.2485813546197546,"score_spread":0.2346911228029482,"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."}}