{"id":"W4388263802","doi":"10.2196/47146","title":"Continuous Critical Respiratory Parameter Measurements Using a Single Low-Cost Relative Humidity Sensor: Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Exhalation; Respiratory rate; Respiratory monitoring; Ventilation (architecture); Simulation; Medicine; Wearable computer; Tidal volume; Computer science; Biomedical engineering; Respiratory system; Anesthesia; Heart rate; Engineering; Embedded system; Mechanical engineering; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001787444,0.0008369013,0.0008394003,0.0005721876,0.0002366687,0.0004676235,0.0005978471,0.000725846,0.001393674],"category_scores_gemma":[0.002255019,0.0002057059,0.0004680545,0.0003701481,0.0005773027,0.0006468348,0.0005283179,0.0003458679,0.0003622256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959701,"about_ca_system_score_gemma":0.0003693258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000791985,"about_ca_topic_score_gemma":0.0008550802,"domain_scores_codex":[0.9987513,0.0004337177,0.00008706294,0.0002363689,0.0003988468,0.00009277194],"domain_scores_gemma":[0.99787,0.0007125176,0.0002846263,0.000147919,0.0006750817,0.0003097928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03415091,0.03685534,0.2754099,0.00387532,0.001371568,0.001444324,0.001620562,0.007007828,0.3089947,0.0006030287,0.002744834,0.3259217],"study_design_scores_gemma":[0.00211892,0.3431648,0.5076332,0.0001862619,0.001706382,0.004910467,0.001723183,0.04384178,0.08943274,0.0002266016,0.004850286,0.0002054384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944882,0.0006104187,0.004031435,0.00002422296,0.00002159122,0.00021727,0.0001143796,0.00002438816,0.0004682142],"genre_scores_gemma":[0.9936957,0.0005530434,0.004460847,0.00005205611,0.00003474852,0.0002379164,0.0003055533,0.000008292012,0.0006518505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001787444,"threshold_uncertainty_score":0.009452999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175759320375852,"score_gpt":0.3449102998219311,"score_spread":0.2273343677843458,"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."}}