{"id":"W2589940202","doi":"10.1117/12.2252114","title":"Assessing photoplethysmographic imaging performance beyond facial perfusion analysis","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Medicine; Biomedical engineering; Artery; Nuclear medicine; Cardiology","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":[0.0006928721,0.0004567546,0.0005929564,0.0003141289,0.0004149145,0.0006943541,0.001569097,0.0001911938,0.00001445912],"category_scores_gemma":[0.0003833228,0.0004211203,0.001028521,0.0005169256,0.0003302773,0.002149369,0.0002962938,0.000487545,0.000001939441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129962,"about_ca_system_score_gemma":0.00002385328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001933998,"about_ca_topic_score_gemma":3.958569e-7,"domain_scores_codex":[0.9973589,1.598193e-8,0.0007303836,0.0004626896,0.0008583154,0.0005896666],"domain_scores_gemma":[0.9979864,0.0001074759,0.0004400918,0.000153083,0.00115151,0.0001614183],"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":[0.00002697898,0.0000512262,0.04197926,0.0005021191,0.00091563,2.879682e-7,0.0001988263,0.0009274874,0.9390684,0.01382255,0.0003111715,0.002196029],"study_design_scores_gemma":[0.001517028,0.00015083,0.06089114,0.0006314546,0.001192865,0.00001889901,0.001611296,0.170196,0.7608044,0.0007540023,0.001100365,0.001131797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932992,0.0001385586,0.000135324,0.0003341583,0.0006440482,0.0003852213,0.00003180186,0.0001919788,0.004839665],"genre_scores_gemma":[0.9668354,0.0001673602,0.03214336,0.0000222683,0.000595056,0.00009839232,0.000008560858,0.00008867893,0.000040877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782641,"threshold_uncertainty_score":0.999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134399213589697,"score_gpt":0.2400789941153776,"score_spread":0.2287350019794806,"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."}}