{"id":"W2116946664","doi":"10.1109/lcomm.2007.061291","title":"Traffic models for medical wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Wireless; Key distribution in wireless sensor networks; Wireless network; Telecommunications","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":[0.001481684,0.001220898,0.0009196434,0.001379646,0.0005222883,0.001533557,0.001500751,0.00183079,0.002976388],"category_scores_gemma":[0.00612057,0.0004627389,0.0008293161,0.00157807,0.0008963426,0.00222637,0.000764833,0.001676137,0.00104906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857879,"about_ca_system_score_gemma":0.0008997181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005537071,"about_ca_topic_score_gemma":0.002754203,"domain_scores_codex":[0.9991177,0.0002932517,0.00005238255,0.0001266254,0.0002840656,0.0001259493],"domain_scores_gemma":[0.9977089,0.001261107,0.0002782008,0.0001232963,0.0005301599,0.00009821058],"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":[0.00003593156,0.00003110534,0.0004832497,0.00008280175,0.00002523188,0.0000921946,0.00006760493,0.7786863,0.0009994843,0.2052228,0.004408403,0.009864858],"study_design_scores_gemma":[0.000003987283,0.00001222647,0.00007801567,0.0000128582,0.000005303032,0.00003284205,0.00001119565,0.9505765,0.00008474661,0.0467268,0.002447623,0.000007920702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01552511,0.003905443,0.9664042,0.001877047,0.0005014529,0.000100839,0.0007473709,0.000439257,0.01049932],"genre_scores_gemma":[0.8515266,0.01588904,0.08957592,0.001224603,0.001698429,0.0009288861,0.002476222,0.0003240985,0.03635626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005537071,"threshold_uncertainty_score":0.01347989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251400689620991,"score_gpt":0.2547415714723639,"score_spread":0.232227564576154,"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."}}