{"id":"W1554606699","doi":"10.1007/978-3-642-17994-5_26","title":"Evaluation of Wireless Body Area Sensor Placement for Mobility Support in Healthcare Monitoring Systems","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Network packet; Wireless sensor network; Handover; Computer science; Wireless; Real-time computing; 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":[0.001463039,0.0008072447,0.0005806847,0.0004204247,0.0001965335,0.0004272413,0.000695477,0.0006526,0.001277531],"category_scores_gemma":[0.005459267,0.0001761588,0.0002592146,0.0003301168,0.0002440957,0.0004247641,0.0004007934,0.0002158416,0.0001744858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515122,"about_ca_system_score_gemma":0.0003129456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262387,"about_ca_topic_score_gemma":0.001618291,"domain_scores_codex":[0.9989046,0.0005600175,0.00007410665,0.0001126421,0.0002864884,0.00006215969],"domain_scores_gemma":[0.9963741,0.002644601,0.0001601697,0.0001366419,0.0005893878,0.00009518424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01256039,0.001771163,0.0232979,0.000858241,0.0003682596,0.0002770087,0.000138978,0.5844634,0.05714156,0.0007203931,0.001716278,0.3166865],"study_design_scores_gemma":[0.000131669,0.004317446,0.008470802,0.00001829575,0.00009398712,0.000127342,0.00008892668,0.9709368,0.01539483,0.0001638019,0.0002419289,0.00001413502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929529,0.001192998,0.06577063,0.0002242341,0.0001408622,0.0002043403,0.0002074555,0.0004180298,0.002312387],"genre_scores_gemma":[0.9890664,0.000145399,0.01016306,0.00001862701,0.00001588006,0.0000310287,0.000123045,0.00001256049,0.000423981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002262387,"threshold_uncertainty_score":0.007737398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014713707265408,"score_gpt":0.2726632003449397,"score_spread":0.2325160632722856,"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."}}