{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004682447,0.0008880706,0.001256487,0.001040803,0.0003816574,0.001622284,0.002083948,0.001175465,0.001883752],"category_scores_gemma":[0.01682681,0.0005555106,0.001100344,0.00111776,0.0008634405,0.001748887,0.001735836,0.001890805,0.0005062309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018897,"about_ca_system_score_gemma":0.0009788922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007172874,"about_ca_topic_score_gemma":0.00415219,"domain_scores_codex":[0.9978157,0.0007707951,0.0001517172,0.0005324511,0.0005473899,0.0001818909],"domain_scores_gemma":[0.9933617,0.004343468,0.0007654278,0.0004241233,0.0008895417,0.0002156704],"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":[0.0003988306,0.0001327381,0.003797589,0.0002225941,0.0002286937,0.0002117923,0.0002310518,0.6592695,0.008032962,0.03675973,0.001409628,0.289305],"study_design_scores_gemma":[0.000004104987,0.00004013765,0.0003655389,0.000009553013,0.00001336786,0.00002483695,0.000005151145,0.9961213,0.000462104,0.002684501,0.0002600571,0.000009294557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006279645,0.0002676942,0.9929061,0.00006381714,0.0000204517,0.0000174571,0.00003514228,0.0001503302,0.0002593592],"genre_scores_gemma":[0.5895631,0.001044698,0.4053299,0.000210545,0.0003691258,0.000232627,0.0005563596,0.0002182448,0.002475461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007172874,"threshold_uncertainty_score":0.02476346,"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."}}