{"id":"W4311163814","doi":"10.18280/ts.390506","title":"Continuous Heartbeat Prediction Using a Face Recognition Algorithm","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heartbeat; Measure (data warehouse); Computer science; Face (sociological concept); Segmentation; Government (linguistics); Artificial intelligence; Waveform; Computer vision; Algorithm; Machine learning; Computer security; Data mining; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029446,0.0001051655,0.0001927431,0.0001315341,0.0002851341,0.00001969047,0.00003814495,0.00002701416,0.001073351],"category_scores_gemma":[0.00000748177,0.0001074267,0.0001183091,0.000228773,0.0000186684,0.00006107746,0.00003039631,0.0001898788,0.00001579325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704949,"about_ca_system_score_gemma":0.00003958954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008767389,"about_ca_topic_score_gemma":5.799587e-7,"domain_scores_codex":[0.9988638,0.00007615381,0.0002344241,0.0002203955,0.0004131091,0.0001921016],"domain_scores_gemma":[0.9996692,0.0000206566,0.00006649034,0.00009829779,0.00005756548,0.00008777146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005111704,0.001943738,0.04338231,0.0001287075,0.0009960631,0.000343137,0.002404626,0.005625075,0.1697715,0.000008372373,0.007307739,0.7675776],"study_design_scores_gemma":[0.008566313,0.0036339,0.01605943,0.0002606525,0.002215908,0.0008104969,0.007445934,0.9161056,0.01904299,0.0001685544,0.02500286,0.0006873558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665894,0.0001599447,0.03153815,0.0003564978,0.0002999071,0.0003148454,0.0001269178,0.0002125571,0.000401771],"genre_scores_gemma":[0.9936182,0.000009359205,0.004851257,0.0001906462,0.0005889534,0.00005357802,0.000218835,0.00001843533,0.0004507074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9104805,"threshold_uncertainty_score":0.9998398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556708360872876,"score_gpt":0.2651689252794276,"score_spread":0.2296018416706988,"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."}}