{"id":"W2997874381","doi":"10.1109/icce-asia46551.2019.8942205","title":"A Smart Sensor Node with Smartphone based IoMT","year":2019,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Wearable computer; Cloud computing; Sensor node; Normalization (sociology); Wearable technology; Internet of Things; Real-time computing; Embedded system; Wireless sensor network; Node (physics); Wireless; Computer network; Wireless network; Key distribution in wireless sensor networks; Engineering; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001077708,0.0003449949,0.0003184367,0.0002588555,0.0001316037,0.0003050923,0.0007010564,0.0005321563,0.003731385],"category_scores_gemma":[0.0002611109,0.0001370168,0.0001956163,0.0002096633,0.0001093869,0.0005317546,0.0004223027,0.0001934307,0.001488707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729295,"about_ca_system_score_gemma":0.0002232364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007825237,"about_ca_topic_score_gemma":0.001078877,"domain_scores_codex":[0.9998198,0.0000251555,0.00001539985,0.00004722246,0.00006775578,0.0000247418],"domain_scores_gemma":[0.9998714,0.0000166204,0.00001976309,0.00001773484,0.00005560882,0.00001875303],"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":[0.001033683,0.0002289023,0.00990815,0.00197127,0.0001157566,0.003336508,0.0004958035,0.01180991,0.5486997,0.01049384,0.03724457,0.374662],"study_design_scores_gemma":[0.0003195786,0.005310798,0.02415283,0.0004276826,0.0004119749,0.01408082,0.0004559695,0.28249,0.2800192,0.003519968,0.3885676,0.0002435848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2510981,0.007011198,0.648394,0.001986819,0.001498308,0.0009691868,0.001451237,0.01140322,0.07618793],"genre_scores_gemma":[0.8691105,0.001335342,0.08631423,0.0008634336,0.0001283805,0.0002654048,0.0005506904,0.00008297674,0.04134897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003731385,"threshold_uncertainty_score":0.01248276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005823664706412273,"score_gpt":0.1762557225471631,"score_spread":0.1704320578407508,"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."}}