{"id":"W2152059346","doi":"10.1557/opl.2014.618","title":"A Flexible Accelerometer System for Human Pulse Monitoring","year":2014,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Accelerometer; Materials science; Capacitive sensing; Sensitivity (control systems); Voltage; SIGNAL (programming language); Optoelectronics; Electrode; Pulse (music); Acoustics; Sense (electronics); Electronic engineering; Computer science; Electrical engineering; Engineering; Physics","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":[0.0003384852,0.0006353381,0.0005386326,0.0004880178,0.0003227136,0.0004233329,0.0009913207,0.0007163624,0.005501202],"category_scores_gemma":[0.0004624398,0.0003026936,0.0002273154,0.0004946869,0.0001798659,0.000462823,0.0005469882,0.0004244783,0.001857429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397085,"about_ca_system_score_gemma":0.0003076029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004687139,"about_ca_topic_score_gemma":0.00168986,"domain_scores_codex":[0.9996645,0.00004634741,0.00002442027,0.00009119616,0.0001448669,0.00002852316],"domain_scores_gemma":[0.9997535,0.0000525413,0.00003041237,0.00003837945,0.00009322361,0.00003195434],"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":[0.0009734754,0.0001700997,0.005754128,0.0004894132,0.00009802375,0.0006414129,0.000210655,0.0006470462,0.6640753,0.001068806,0.01357124,0.3123005],"study_design_scores_gemma":[0.0004765561,0.005587087,0.08842122,0.0003462803,0.0006676039,0.01285716,0.0004756221,0.0851277,0.6724401,0.002528348,0.130561,0.0005112934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2422591,0.004730737,0.718152,0.00119457,0.001680486,0.0008228541,0.004211352,0.007174054,0.01977483],"genre_scores_gemma":[0.7762207,0.001600703,0.1929294,0.001127067,0.0003150723,0.0006306126,0.00140241,0.0001864194,0.02558757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005501202,"threshold_uncertainty_score":0.01840341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268748389440731,"score_gpt":0.250505921735579,"score_spread":0.2236310827915058,"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."}}