{"id":"W4309119158","doi":"10.3390/bioengineering9110692","title":"PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms","year":2022,"lang":"en","type":"article","venue":"Bioengineering","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Qingdao University of Science and Technology; Qatar University; Qatar National Research Fund; Bangladesh University of Engineering and Technology; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Photoplethysmogram; Blood pressure; Waveform; Computer science; Mean arterial pressure; Medicine; Cardiology; Artificial intelligence; Pattern recognition (psychology); Internal medicine; Heart rate; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002511079,0.000427371,0.0003763554,0.0003037822,0.0002337773,0.0001097551,0.0004539731,0.00009072211,0.0002736316],"category_scores_gemma":[0.00003187461,0.000490499,0.0001664278,0.0006908158,0.00001543697,0.0002274209,0.0001640304,0.0004756721,0.00003174955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000938176,"about_ca_system_score_gemma":0.00002328127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604674,"about_ca_topic_score_gemma":0.000004957443,"domain_scores_codex":[0.9978006,0.00002671445,0.0004494802,0.0004141637,0.000489524,0.0008194403],"domain_scores_gemma":[0.9991931,0.00006430819,0.00003756933,0.0004023205,0.00003051325,0.0002721666],"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":[0.0000104922,0.00002655948,0.000178666,0.0001213542,0.0001531158,0.00003890411,0.0006492352,0.3121639,0.6843787,0.00003238966,0.0001330832,0.002113678],"study_design_scores_gemma":[0.002044728,0.0005352043,0.0008026201,0.0001904268,0.0003675067,0.0001580262,0.0006794542,0.03696291,0.9112228,0.0001179051,0.04464344,0.002275029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475784,0.002182783,0.03822919,0.0001136875,0.005439205,0.001349702,0.0002498144,0.003046327,0.001810936],"genre_scores_gemma":[0.9936753,0.000009331146,0.00478291,0.00003320784,0.0008261881,0.00039163,0.00002324643,0.00018319,0.00007503437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.275201,"threshold_uncertainty_score":0.9997547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009500194931585526,"score_gpt":0.2023145676466205,"score_spread":0.192814372715035,"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."}}