{"id":"W2908256212","doi":"10.1109/newcas.2018.8585553","title":"Using the Characteristic Value of the Body Channel for Encryption of Body Area Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Encryption; Computer science; Wearable computer; Channel (broadcasting); Power consumption; Power (physics); Computer network; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002536712,0.0001405174,0.0002001192,0.00003233896,0.0001039475,0.00001359,0.0002833914,0.0001049981,0.00003262642],"category_scores_gemma":[0.00003269204,0.00008535605,0.0001054436,0.0001959905,0.0001402496,0.00007383537,0.0000594259,0.0001154852,0.000001129451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003546541,"about_ca_system_score_gemma":0.00001417114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003152656,"about_ca_topic_score_gemma":0.00001283242,"domain_scores_codex":[0.9991595,0.00003185045,0.0003056199,0.0001198013,0.0001308796,0.0002523194],"domain_scores_gemma":[0.9992141,0.0001341342,0.0001108357,0.0004028972,0.0001104787,0.00002756107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001057707,0.00008832815,0.001616765,0.0002846402,0.000322889,6.215317e-7,0.001241329,0.8505945,0.1276515,0.01299097,0.003062363,0.002040256],"study_design_scores_gemma":[0.0001578133,0.00003718593,0.007133692,0.0001015672,0.00005088166,0.000003113609,0.00005224119,0.9806776,0.01123265,0.0003149511,0.0001386187,0.00009969071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4821777,0.00008203731,0.5151284,0.00003848697,0.001021063,0.0004584228,0.00001198336,0.00007179427,0.00101012],"genre_scores_gemma":[0.9987515,0.00001843034,0.0004412157,0.00003639853,0.0006388534,0.00002192802,0.000006556905,0.00003623115,0.00004894633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5165737,"threshold_uncertainty_score":0.3480719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066781536316287,"score_gpt":0.2364901837624313,"score_spread":0.2158223683992684,"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."}}