{"id":"W2907338308","doi":"10.1109/ifetc.2018.8583998","title":"A Piezo Transducer Based Flexible Hybrid Sensor for Health Monitoring","year":2018,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transducer; Spirometer; Diaphragm (acoustics); SIGNAL (programming language); Respiratory monitoring; Electronics; Computer science; Materials science; Acoustics; Electronic engineering; Electrical engineering; Respiratory system; Engineering; Vibration; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869371,0.0002161639,0.0002286957,0.0001224417,0.0001447538,0.00005132039,0.0001454974,0.00004564256,0.00008496126],"category_scores_gemma":[0.00002317386,0.000219975,0.000102589,0.0001737498,0.00003486965,0.0001562664,0.00001077862,0.0001072133,0.0001008205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840747,"about_ca_system_score_gemma":0.00005019024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004240111,"about_ca_topic_score_gemma":0.000005762657,"domain_scores_codex":[0.9987223,0.00001472207,0.0002614299,0.0002534142,0.0001703813,0.0005777252],"domain_scores_gemma":[0.9993263,0.0001070646,0.00002398388,0.0002678493,0.00008104079,0.0001937613],"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":[0.0001156316,0.0001006731,0.00806246,0.0009948498,0.0001637342,0.00001161886,0.0006834609,0.004593697,0.9250396,0.0002293471,0.01039979,0.04960513],"study_design_scores_gemma":[0.0006667029,0.0002085697,0.0004104204,0.00009274609,0.000008851042,0.000003884177,0.00006228226,0.004100001,0.9848062,0.0001087183,0.009232386,0.0002991942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1954185,0.0002656017,0.7921095,0.0003629057,0.003388321,0.0007900203,0.00004297503,0.001825719,0.00579651],"genre_scores_gemma":[0.9494322,0.00001105095,0.04789548,0.0001043153,0.002009408,0.00008816223,0.000004582752,0.00009682051,0.0003580117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7540137,"threshold_uncertainty_score":0.8970321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787221228925516,"score_gpt":0.2854058964051723,"score_spread":0.2575336841159171,"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."}}