{"id":"W2747315159","doi":"10.1101/179812","title":"Non-contact measurement of emotional and physiological changes in heart rate from a webcam","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Photoplethysmogram; Heart rate; Stimulus (psychology); Sitting; Skin color; Heart rate variability; Blood flow; Blood pressure; Medicine; Computer vision; Psychology; Cardiology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000596964,0.0005189735,0.0007908909,0.0002284073,0.00007540795,0.0001142939,0.0004229585,0.0004461524,0.00002127698],"category_scores_gemma":[0.0001889216,0.000552604,0.0001018731,0.0001245158,0.00008843913,0.0001333539,0.0003934797,0.000679153,0.00001979549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418044,"about_ca_system_score_gemma":0.0001451983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000177605,"about_ca_topic_score_gemma":0.00002630785,"domain_scores_codex":[0.9979724,0.00007848722,0.0004154502,0.0006880866,0.0003985466,0.0004470124],"domain_scores_gemma":[0.9984486,0.00006096356,0.0002053051,0.0008557523,0.0002475553,0.0001818144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001555763,0.00005038865,0.03312197,0.0003592489,0.0001153153,0.00002260382,0.000008418458,0.0002226986,0.9659874,0.00001637114,0.00007839218,0.000001568618],"study_design_scores_gemma":[0.0003464759,0.00003305076,0.5554039,0.0009799737,0.00002402713,4.065188e-9,0.000001237538,0.0002483695,0.4425127,0.000005930161,0.00008792817,0.0003564318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960808,0.001418438,0.0002844321,0.00006865223,0.001236157,0.0005286292,0.0001966755,0.0001751384,0.00001104965],"genre_scores_gemma":[0.997062,0.000383429,0.001653565,0.00001850111,0.0006388209,0.0001516719,4.001677e-7,0.00009127133,3.713285e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5234748,"threshold_uncertainty_score":0.9996926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226402322239187,"score_gpt":0.2237186536102523,"score_spread":0.1914546303878604,"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."}}