{"id":"W2889779412","doi":"10.3390/diagnostics8030065","title":"Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database","year":2018,"lang":"en","type":"article","venue":"Diagnostics","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Photoplethysmogram; Prehypertension; Blood pressure; Medicine; Cardiology; Internal medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000329907,0.0001563035,0.0001353775,0.00008635832,0.0001108932,0.00005874681,0.00008237836,0.00006524658,0.00003681697],"category_scores_gemma":[0.0002846971,0.0001657388,0.00001674914,0.0001287311,0.00005074172,0.0003222735,0.00005830404,0.0001106928,0.00002132757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135565,"about_ca_system_score_gemma":0.00003116254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004853188,"about_ca_topic_score_gemma":0.0000192314,"domain_scores_codex":[0.9990372,0.00005723584,0.0001751749,0.0002145551,0.000290423,0.0002254176],"domain_scores_gemma":[0.99909,0.0003039514,0.00003129119,0.0002662638,0.0001884553,0.000120083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003605815,0.00005991548,0.02288887,0.00005087232,0.00002998058,0.00002942258,0.0001254061,0.005209521,0.9503587,0.00001951833,0.0003330702,0.02089105],"study_design_scores_gemma":[0.0004710358,0.0001588674,0.01314609,0.0001905008,0.0001569365,0.00002761068,0.0001013135,0.8247278,0.1600849,0.0004367355,0.0001414025,0.0003567722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165331,0.0004873026,0.08160795,0.000008386646,0.0008461968,0.0002445306,0.00002086498,0.0001131646,0.0001385295],"genre_scores_gemma":[0.9764804,0.0001829539,0.02258451,0.00004230089,0.000597554,0.00001355982,0.00005376398,0.00004413637,8.480421e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8195183,"threshold_uncertainty_score":0.6758633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603115308650387,"score_gpt":0.3169140276951795,"score_spread":0.2566024968301407,"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."}}