{"id":"W4416960312","doi":"10.1109/embc58623.2025.11253258","title":"Predicting Heart Rate Estimation Accuracy: Photoplethysmography Sensor Measurements on Eight Anatomical Sites <sup>*</sup>","year":2025,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs; Health Research","keywords":"Photoplethysmogram; Metric (unit); Pulsatile flow; Waveform; SIGNAL (programming language); Heart rate; Pattern recognition (psychology); Reliability (semiconductor)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008302963,0.0004502409,0.0002348566,0.0005180807,0.000077039,0.0005627772,0.0002753516,0.0005691555,0.001194051],"category_scores_gemma":[0.00428628,0.0001053657,0.0002380587,0.0003653277,0.0001598421,0.0004330519,0.0003357693,0.0002689468,0.0005793648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008461111,"about_ca_system_score_gemma":0.00008463177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006543965,"about_ca_topic_score_gemma":0.001230572,"domain_scores_codex":[0.9995762,0.0001041537,0.00004415645,0.00009516123,0.0001445202,0.0000358265],"domain_scores_gemma":[0.9976045,0.001365907,0.0003443973,0.0001849965,0.0004441108,0.00005613377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001491196,0.0001418018,0.5407457,0.0004095137,0.0003311691,0.0005296018,0.0002471506,0.01389458,0.1266008,0.0002710414,0.00275129,0.3125861],"study_design_scores_gemma":[0.00002566026,0.0005263155,0.7324234,0.00006907673,0.0002322135,0.001800286,0.000297509,0.2042084,0.05844703,0.0004969338,0.001420058,0.00005321246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002258,0.0008731608,0.09497398,0.0001796651,0.0001304175,0.00005055802,0.001095983,0.0005505848,0.001920003],"genre_scores_gemma":[0.9820253,0.0001968833,0.01679176,0.00006721681,0.00004746313,0.00002163717,0.0005284506,0.00003636149,0.0002850521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001194051,"threshold_uncertainty_score":0.004391074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031783414909638,"score_gpt":0.2558120835950426,"score_spread":0.2354942494459462,"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."}}