{"id":"W4312459186","doi":"10.1364/laop.2022.m3b.3","title":"Physiological Imaging using rPPG: Glabrous and Non-glabrous Skin","year":2022,"lang":"en","type":"article","venue":"Latin America Optics and Photonics (LAOP) Conference 2022","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Photoplethysmogram; Modalities; Computer vision; Computer science; Medicine; Artificial intelligence","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":[0.0002378327,0.0003867379,0.0002661196,0.0002996138,0.0001503556,0.0003988472,0.0001666912,0.0005023382,0.00276043],"category_scores_gemma":[0.0005763439,0.0001152965,0.0001467312,0.0001978538,0.0004488921,0.0004756965,0.0003033575,0.0004529232,0.000389182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000715989,"about_ca_system_score_gemma":0.00009243885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925737,"about_ca_topic_score_gemma":0.000331765,"domain_scores_codex":[0.9998425,0.00003587688,0.000008291114,0.00005788432,0.00003220083,0.00002314548],"domain_scores_gemma":[0.9998769,0.00004362405,0.00002061086,0.0000179795,0.00001880695,0.00002204784],"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":[0.001551319,0.000143487,0.004732767,0.0004044484,0.00003626601,0.0007539545,0.0003425007,0.0001545712,0.9533289,0.0001272599,0.0002438807,0.03818072],"study_design_scores_gemma":[0.000200756,0.006027774,0.4160513,0.0001204927,0.0003365851,0.01649535,0.001020323,0.004362532,0.5503654,0.001079579,0.003846972,0.00009298523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811749,0.001643608,0.01392162,0.0001298663,0.00007208758,0.0001088127,0.0002621576,0.0001552836,0.002531675],"genre_scores_gemma":[0.9937639,0.000672274,0.004495516,0.0001413562,0.00006306111,0.00005560301,0.00009445338,0.00004361193,0.0006702319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00276043,"threshold_uncertainty_score":0.009234607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510619319081279,"score_gpt":0.2242946841078123,"score_spread":0.2091884909169995,"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."}}