{"id":"W4416926555","doi":"10.1145/3770634","title":"ArtEARial: Arterial Pressure Waveform Reconstruction Using Earbud Audio","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Photoplethysmogram; Waveform; Modality (human–computer interaction); SIGNAL (programming language); Signal processing; Feature (linguistics); Pattern recognition (psychology); Pulse (music); Feature extraction","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":[0.0004109196,0.0005220603,0.0002947134,0.0006634286,0.0001295328,0.000545042,0.0006380524,0.000538306,0.002247444],"category_scores_gemma":[0.002086528,0.0001656305,0.0003233101,0.0003111582,0.000175701,0.0005124012,0.0008844618,0.0004442866,0.0008572829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253901,"about_ca_system_score_gemma":0.0002590471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008621,"about_ca_topic_score_gemma":0.001646895,"domain_scores_codex":[0.999786,0.00003483465,0.00001245433,0.00004905343,0.00009849147,0.00001937863],"domain_scores_gemma":[0.9996862,0.0001408996,0.00002846791,0.00005566644,0.00006598649,0.00002276723],"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":[0.001025277,0.0001885483,0.004997026,0.0002447314,0.0001322283,0.0006630466,0.0001335938,0.03166346,0.1129711,0.001415997,0.009015962,0.8375491],"study_design_scores_gemma":[0.0001459673,0.0006898536,0.01345556,0.00005989823,0.0001012825,0.002444868,0.0001096258,0.8394935,0.1225251,0.002973401,0.017913,0.00008793821],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0767066,0.0006433312,0.9111534,0.0001658258,0.0002341563,0.000106708,0.001007313,0.008067064,0.00191559],"genre_scores_gemma":[0.5613765,0.0007405467,0.4285834,0.0003840858,0.0001766661,0.000163336,0.00291108,0.0004267315,0.005237659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002247444,"threshold_uncertainty_score":0.00751847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008693865627644157,"score_gpt":0.2336016950803325,"score_spread":0.2249078294526883,"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."}}