{"id":"W3082637899","doi":"10.1109/embc44109.2020.9176245","title":"Relationship of the Respiration Waveform to a Chest Worn Inertial Sensor","year":2020,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Accelerometer; Spirometer; Acceleration; Gyroscope; Respiratory monitoring; Inertial measurement unit; Respiration; Respiratory rate; Vibration; Respiratory system; Computer science; Breathing; Biomedical engineering; Electronic engineering; Acoustics; Physics; Medicine; Engineering; Heart rate; Anesthesia; Internal medicine; Artificial intelligence; Spirometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004876179,0.00006579075,0.00006715702,0.00002573816,0.00002994699,0.00001177335,0.00009225384,0.00003668102,0.00001998629],"category_scores_gemma":[0.0002251687,0.00004849776,0.00003404199,0.0003261162,0.000008910824,0.00008061348,0.00003590836,0.000093647,0.00006378663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003981516,"about_ca_system_score_gemma":0.000008692436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679189,"about_ca_topic_score_gemma":0.0000204491,"domain_scores_codex":[0.9995489,0.00001091166,0.0001523976,0.00007606563,0.0001176774,0.00009406985],"domain_scores_gemma":[0.9997247,0.00004857622,0.00001499979,0.0001264388,0.00002670341,0.00005854109],"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":[0.00001713505,0.000004941138,0.05468092,0.00005538143,0.000009658775,9.015715e-7,0.001023521,0.01827977,0.9230571,0.0007672714,0.0006956715,0.001407773],"study_design_scores_gemma":[0.0002008647,0.00005249303,0.1188931,0.00002810701,0.00001023767,9.315064e-7,0.0001382749,0.002266087,0.8759581,0.00007599266,0.00222301,0.0001527811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765712,0.00001109676,0.01234194,0.001005313,0.0002467945,0.000216175,0.000002832442,0.00015755,0.009447082],"genre_scores_gemma":[0.9974666,2.578899e-7,0.00201957,0.0001255669,0.0002726074,0.000007753622,7.151398e-7,0.00001580994,0.00009117141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0642122,"threshold_uncertainty_score":0.1977682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698210023071931,"score_gpt":0.224135118997003,"score_spread":0.1871530187662837,"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."}}