{"id":"W4386920307","doi":"10.1109/sas58821.2023.10254027","title":"A Confidence Framework Through Temporal Averaging for Heart Rate Estimation in Video Magnification","year":2023,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; AGE-WELL","keywords":"Magnification; Computer science; Artificial intelligence; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0002733458,0.0001109392,0.0001202202,0.0001061877,0.00004571061,0.00006023524,0.00008329325,0.00007130947,0.00001917714],"category_scores_gemma":[0.0002307721,0.0001096147,0.00003297467,0.0004819936,0.00001350883,0.0004029892,0.00001718632,0.000119014,0.0001866782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009038647,"about_ca_system_score_gemma":0.00001311537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007617705,"about_ca_topic_score_gemma":0.0000116416,"domain_scores_codex":[0.9992479,0.00001708798,0.0002175851,0.0001764422,0.00009768119,0.0002433075],"domain_scores_gemma":[0.9993872,0.00036685,0.00001999715,0.0001627316,0.00003272721,0.00003049281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004118224,0.00003591273,0.04080344,0.0009772787,0.00004098431,0.00002071943,0.003457861,0.4895105,0.4042419,0.0495345,0.005924931,0.005410713],"study_design_scores_gemma":[0.0006190434,0.00005332335,0.03094065,0.0004437075,0.00001192508,0.000004117986,0.0005303252,0.4539667,0.2748825,0.2364766,0.001476495,0.0005946814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059103,0.00003269129,0.8916155,0.0003890085,0.0005013141,0.0004235918,0.000002965779,0.0006934194,0.0004312912],"genre_scores_gemma":[0.9430192,0.00002114709,0.05650599,0.00005004205,0.00008939071,0.0001718089,0.00001904364,0.00003124384,0.00009212941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8371089,"threshold_uncertainty_score":0.4469958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813696202771529,"score_gpt":0.2900148792922426,"score_spread":0.2618779172645272,"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."}}