{"id":"W2126568521","doi":"10.1109/tbcas.2010.2052616","title":"Mechanically Flexible Wireless Multisensor Platform for Human Physical Activity and Vitals Monitoring","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensor node; Wearable computer; Wireless sensor network; Computer science; Firmware; Data acquisition; Wireless; Node (physics); Real-time computing; Computer hardware; Key distribution in wireless sensor networks; Embedded system; Wireless network; Engineering","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":[0.0003134798,0.0004255155,0.0003704936,0.0003504413,0.0001775778,0.0003398372,0.0008520729,0.0004889034,0.003798362],"category_scores_gemma":[0.0005243644,0.0002241561,0.0003065176,0.0002418232,0.000171856,0.0004927706,0.0007495011,0.0003269578,0.000973292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119386,"about_ca_system_score_gemma":0.0002275353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509253,"about_ca_topic_score_gemma":0.0003378174,"domain_scores_codex":[0.9997247,0.00005213619,0.00001558929,0.00006243659,0.0001257926,0.00001923394],"domain_scores_gemma":[0.99985,0.00003906204,0.00002767838,0.00002894407,0.00003517953,0.00001910773],"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":[0.0003511965,0.0001342423,0.001237574,0.0003575145,0.00004030977,0.0004582264,0.0001103792,0.003093665,0.8501333,0.002106225,0.001996072,0.1399813],"study_design_scores_gemma":[0.0002908943,0.007530181,0.03271367,0.0001943587,0.0002839482,0.004527188,0.0002358984,0.1412701,0.7287737,0.00487572,0.07903628,0.0002681668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2492032,0.002846752,0.7360874,0.0004769216,0.0005204557,0.0004540699,0.0004765328,0.002446698,0.007487837],"genre_scores_gemma":[0.6980688,0.001195645,0.2867162,0.0004142115,0.0001538047,0.0007056852,0.0005111972,0.00009743845,0.01213708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003798362,"threshold_uncertainty_score":0.01270682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731944482559397,"score_gpt":0.2669966262574089,"score_spread":0.239677181431815,"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."}}