{"id":"W1554242441","doi":"10.1109/jbhi.2015.2445783","title":"Design and Evaluation of an Intelligent Remote Tidal Volume Variability Monitoring System in E-Health Applications","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spirometer; Wearable computer; Computer science; Bluetooth; Tidal volume; Respiratory monitoring; Remote patient monitoring; Accelerometer; ALARM; Breathing; Operability; Real-time computing; Simulation; Medicine; Spirometry; Engineering; Embedded system; Telecommunications; Respiratory system; Wireless; 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":[0.0007600229,0.0004412521,0.0005373248,0.0003147085,0.0002414542,0.000533236,0.001020855,0.0007277175,0.00230758],"category_scores_gemma":[0.0008277352,0.0001786697,0.0002733425,0.0001534937,0.0001884088,0.000508042,0.0003397094,0.0002281392,0.0006713389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000315578,"about_ca_system_score_gemma":0.0004596637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008888647,"about_ca_topic_score_gemma":0.0005841611,"domain_scores_codex":[0.9995447,0.0001205959,0.00004222307,0.0001088762,0.00013219,0.00005151862],"domain_scores_gemma":[0.9996104,0.00007079002,0.00003328745,0.00004179321,0.0001900797,0.00005371879],"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":[0.003340538,0.00230345,0.0248193,0.001257498,0.0002561745,0.001238722,0.0005260573,0.03706085,0.5848668,0.002281639,0.004746573,0.3373024],"study_design_scores_gemma":[0.0007337868,0.01368755,0.06265979,0.0001136634,0.0004747362,0.001439492,0.0003212109,0.6240485,0.2789155,0.0008053551,0.01668787,0.0001126332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.551223,0.0006031683,0.4361577,0.0005238195,0.0002231212,0.00198127,0.0002973315,0.004235013,0.004755602],"genre_scores_gemma":[0.8790666,0.000183824,0.1161407,0.000245316,0.00003165264,0.0006153572,0.0002532391,0.00004892863,0.003414344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00230758,"threshold_uncertainty_score":0.007719696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08896913081299526,"score_gpt":0.3450493120624503,"score_spread":0.2560801812494551,"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."}}