{"id":"W2084949866","doi":"10.1109/bwcca.2012.38","title":"Modeling Propagation Characteristics for Arm-Motion in Wireless Body Area Sensor Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Body area network; Superposition principle; Transmitter; Wireless; Transmission (telecommunications); Wireless sensor network; Computer science; Wearable computer; Antenna (radio); Radio propagation; Channel (broadcasting); Acoustics; Electronic engineering; Physics; Telecommunications; Engineering; Embedded system; Computer network","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":[0.0002259199,0.0003368335,0.0001938476,0.0003091063,0.0002106092,0.0003520093,0.0003477376,0.0004997968,0.001082219],"category_scores_gemma":[0.0007526704,0.0001392146,0.0003312234,0.000480124,0.0002389186,0.0007185257,0.0001932189,0.0002990744,0.0004612887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607697,"about_ca_system_score_gemma":0.0002917614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303439,"about_ca_topic_score_gemma":0.002205878,"domain_scores_codex":[0.9998786,0.00004473977,0.000004874429,0.00001636949,0.00004210687,0.0000132485],"domain_scores_gemma":[0.999832,0.00008364175,0.00002301188,0.00001381604,0.0000425555,0.000004890661],"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":[0.00003393821,0.00002027949,0.00139905,0.00005814159,0.00001227201,0.0001656627,0.0001486073,0.9445679,0.01181071,0.01731765,0.0006229761,0.02384293],"study_design_scores_gemma":[0.000001066284,0.00001359056,0.000235132,0.000004005151,0.00000299273,0.00004480287,0.00001775812,0.9965134,0.0006884172,0.001820766,0.0006548666,0.000003180323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03973496,0.0003697422,0.9541527,0.0001659115,0.00004038256,0.00002809634,0.00005853436,0.000242248,0.00520744],"genre_scores_gemma":[0.9189155,0.001540895,0.06621991,0.00007719432,0.00004527839,0.00009886692,0.0001614689,0.00009054456,0.01285048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00303439,"threshold_uncertainty_score":0.006033421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743978985779938,"score_gpt":0.218749306885781,"score_spread":0.2013095170279816,"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."}}