{"id":"W4389191791","doi":"10.22215/etd/2023-15813","title":"A Confidence Framework for Heart Rate Estimation in Video Magnification","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Magnification; Low Confidence; Confidence interval; Estimation; Artificial intelligence; Machine learning; Statistics; Engineering; Psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002381719,0.0002266464,0.0002414044,0.0002782431,0.00003737096,0.00007958906,0.0001311114,0.0003392987,0.00002824741],"category_scores_gemma":[0.0005510463,0.0002359273,0.00006765901,0.0003790811,0.000006987434,0.0001771114,0.000005728407,0.0002785113,0.0002707739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569571,"about_ca_system_score_gemma":0.00003655766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007912217,"about_ca_topic_score_gemma":0.0002183217,"domain_scores_codex":[0.9989538,0.00001776326,0.0003597028,0.0002751013,0.0001442679,0.0002494032],"domain_scores_gemma":[0.9990209,0.0005686788,0.00005714839,0.0002215539,0.00008564692,0.00004611193],"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":[0.0003086507,0.0001072311,0.00203281,0.01443415,0.0002336333,0.00002840586,0.006073927,0.1534045,0.687664,0.08930328,0.01079339,0.03561594],"study_design_scores_gemma":[0.0007788911,0.0001252148,0.06345066,0.004555726,0.0001054137,0.000002401958,0.002605471,0.06925041,0.5280671,0.3285669,0.0006228879,0.001868865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1348023,0.0003646478,0.8492041,0.0001562254,0.007854837,0.002957856,0.00003909446,0.002073205,0.002547791],"genre_scores_gemma":[0.9240523,0.0002034781,0.06759858,0.00002952144,0.0003763663,0.001807791,0.00140767,0.0002727669,0.004251513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.78925,"threshold_uncertainty_score":0.9620837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060622434932369,"score_gpt":0.298601609715219,"score_spread":0.2779953853658953,"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."}}