{"id":"W2618866521","doi":"10.11159/icbes17.134","title":"Determination of Pulse Rate and Blood Pressure Using Non-invasive In-vivo Spectroscopy","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Utah Science Technology and Research","keywords":"In vivo; Spectroscopy; Pulse (music); Materials science; Pulse rate; Blood pressure; Pulse pressure; Biomedical engineering; Optics; Internal medicine; Medicine; Physics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424872,0.0003260243,0.0003110627,0.0004289702,0.0001406652,0.0003303086,0.0004002761,0.0005167235,0.000723134],"category_scores_gemma":[0.0007298392,0.0001605705,0.0001913419,0.0002904949,0.0001642111,0.0004394088,0.0001986108,0.0002865496,0.0002876091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008776557,"about_ca_system_score_gemma":0.0001675155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002216384,"about_ca_topic_score_gemma":0.0004265659,"domain_scores_codex":[0.9996595,0.0000727711,0.00001626712,0.00007012358,0.0001661078,0.00001516021],"domain_scores_gemma":[0.9996388,0.0001498979,0.00006650981,0.00003949952,0.00008503466,0.00002026764],"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":[0.0000875588,0.00008897227,0.003257622,0.0002450325,0.00002157935,0.0001193484,0.00008409919,0.000674405,0.9518952,0.0003564431,0.0002890195,0.04288064],"study_design_scores_gemma":[0.00002540275,0.0007174166,0.02829178,0.00003798139,0.00008735507,0.00239349,0.000137227,0.05352489,0.9095168,0.0005793949,0.004622417,0.00006582258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4004643,0.002962371,0.5902728,0.0002936156,0.0002709086,0.0001228792,0.0003476628,0.0008366273,0.004428775],"genre_scores_gemma":[0.7646009,0.002209759,0.229652,0.0001159141,0.0001157228,0.0001088573,0.0001787472,0.00005983698,0.002958179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000723134,"threshold_uncertainty_score":0.002419114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007711616797820963,"score_gpt":0.2157754235810815,"score_spread":0.2080638067832606,"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."}}