{"id":"W2899490740","doi":"10.1109/embc.2018.8513567","title":"Body Sensor Networks Powered by an NFC-Coupled Smartphone in the Pocket","year":2018,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SFU Community Trust Endowment Fund; Japan Society for the Promotion of Science","keywords":"Host (biology); Energy harvesting; Computer science; Cable gland; Electrical engineering; Body area network; Near field communication; Wireless sensor network; Mobile device; Power (physics); Embedded system; Computer hardware; Computer network; Telecommunications; Engineering; Physics; Ultra high frequency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138107,0.0002376611,0.0002537329,0.0001784564,0.0002046431,0.0002197972,0.0003741926,0.0002874186,0.001255564],"category_scores_gemma":[0.0002443414,0.0001032609,0.0001408703,0.0001433917,0.0001505292,0.0005346556,0.0004913704,0.0001611535,0.0002889085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897313,"about_ca_system_score_gemma":0.0001279269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009160177,"about_ca_topic_score_gemma":0.001689631,"domain_scores_codex":[0.9997663,0.00005339973,0.00001238302,0.00005268778,0.00008944239,0.0000257891],"domain_scores_gemma":[0.9998603,0.00002415783,0.00002556581,0.00002694693,0.0000468785,0.00001622332],"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":[0.0006583713,0.0001282761,0.006689114,0.0004624454,0.00006781129,0.00155247,0.0004854217,0.01004383,0.7465371,0.004210559,0.004744486,0.2244201],"study_design_scores_gemma":[0.0001515409,0.003712801,0.02796513,0.0002191687,0.0002444374,0.009097396,0.001129314,0.3929633,0.4623363,0.003908156,0.09811373,0.0001586479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6084972,0.002337111,0.361616,0.0006816079,0.0004002068,0.000179181,0.0001930871,0.001360605,0.02473502],"genre_scores_gemma":[0.9593953,0.0005507087,0.03201205,0.0001917342,0.00004554852,0.00005273708,0.00007325114,0.00001579411,0.007662922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001255564,"threshold_uncertainty_score":0.00420028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006621600713320108,"score_gpt":0.2099663088767035,"score_spread":0.2033447081633834,"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."}}