{"id":"W4401352915","doi":"10.3390/biomedicines12081784","title":"What Remote PPG Oximetry Tells Us about Pulsatile Volume?","year":2024,"lang":"en","type":"article","venue":"Biomedicines","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pulsatile flow; Volume (thermodynamics); Medicine; Pulse oximetry; Cardiology; Biomedical engineering; Anesthesia; Physics","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":[0.001570767,0.0004684761,0.0008268318,0.001055654,0.0002169787,0.001862358,0.0007677458,0.001366654,0.002292415],"category_scores_gemma":[0.0116716,0.0003590791,0.0004493385,0.0006937677,0.001789788,0.004746535,0.0005253321,0.001334525,0.0008029768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930874,"about_ca_system_score_gemma":0.0002354578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006913735,"about_ca_topic_score_gemma":0.0004739562,"domain_scores_codex":[0.9995562,0.0001537675,0.00002846274,0.00009586051,0.000124757,0.00004087833],"domain_scores_gemma":[0.996767,0.002300721,0.0003463552,0.0002027552,0.000295319,0.00008779456],"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":[0.001223344,0.0002400861,0.09045625,0.004128285,0.0006296405,0.002041213,0.002324793,0.02515572,0.08702416,0.04072145,0.02084637,0.7252087],"study_design_scores_gemma":[0.0002422104,0.002151888,0.2326939,0.004378539,0.001096729,0.0204753,0.005238195,0.204133,0.08890674,0.3215328,0.1182893,0.000861426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3734552,0.1029411,0.4394334,0.03650165,0.00365993,0.0001266945,0.003746388,0.001624864,0.0385108],"genre_scores_gemma":[0.9157642,0.03583303,0.03760225,0.004046251,0.003452707,0.00008635613,0.0006218963,0.0002994504,0.0022938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002292415,"threshold_uncertainty_score":0.008307099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352799941210193,"score_gpt":0.2407605982635519,"score_spread":0.2314077983223417,"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."}}