{"id":"W3082127199","doi":"10.1109/embc44109.2020.9176425","title":"Oral Cavity Pressure Measurement-based Respiratory Monitoring System with Reduced Susceptibility to Motion Artifacts","year":2020,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Oral cavity; Breathing; Pressure measurement; System of measurement; Wearable computer; Respiration; Pressure sensor; Computer science; Respiratory monitoring; Biomedical engineering; Acoustics; Respiratory system; Simulation; Medicine; Anesthesia; Engineering; Physics; Embedded system; Dentistry; Internal medicine","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":[0.0004022,0.0005284502,0.0007660479,0.0004412291,0.0001796843,0.0005788438,0.001033345,0.001038575,0.001907964],"category_scores_gemma":[0.0009598731,0.0002930569,0.0002923512,0.0003276049,0.0001773164,0.0007031963,0.0006524508,0.000448449,0.001166457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114448,"about_ca_system_score_gemma":0.0002355146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476006,"about_ca_topic_score_gemma":0.0004318504,"domain_scores_codex":[0.9993386,0.0001233115,0.00004792574,0.0002016545,0.0002631887,0.00002534233],"domain_scores_gemma":[0.9995531,0.0001092741,0.00008320557,0.00005525807,0.0001688193,0.00003030984],"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":[0.0006022795,0.0001811886,0.005280359,0.000934378,0.0001211344,0.0004555059,0.0001577276,0.0007609708,0.6567476,0.0004159598,0.002873954,0.3314689],"study_design_scores_gemma":[0.0007165771,0.005510221,0.1206564,0.0003424397,0.001339224,0.02013281,0.0002454327,0.1507213,0.6450247,0.001468816,0.05338918,0.0004528842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2169735,0.009639191,0.7575705,0.0006558141,0.0007735962,0.0005888016,0.0009022908,0.006281045,0.006615241],"genre_scores_gemma":[0.6816167,0.002717995,0.3050275,0.001175182,0.0006731771,0.000546716,0.0007025392,0.0001791614,0.007361052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001907964,"threshold_uncertainty_score":0.006382823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733773884734392,"score_gpt":0.2362054968144912,"score_spread":0.1788677579671472,"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."}}