{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000501201,0.0006532631,0.0008875576,0.001100177,0.0003217054,0.0006293137,0.0009035234,0.0009528855,0.001853223],"category_scores_gemma":[0.001394594,0.0002064362,0.0006349358,0.0004950766,0.000159042,0.0005251642,0.0003391163,0.0007990496,0.001226146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996786,"about_ca_system_score_gemma":0.0004062992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379427,"about_ca_topic_score_gemma":0.002372923,"domain_scores_codex":[0.9996045,0.00003690225,0.00002187454,0.0001316196,0.0001431496,0.00006198249],"domain_scores_gemma":[0.9995976,0.000137316,0.00003985957,0.00002991386,0.0001766013,0.0000186503],"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":[0.0004761992,0.000273497,0.007409255,0.00009597427,0.00009641994,0.0002687033,0.00008362057,0.05794841,0.02992295,0.0008063879,0.003040179,0.8995784],"study_design_scores_gemma":[0.00001427233,0.0001487729,0.004964547,0.00002141157,0.00003243287,0.0002428557,0.00003424954,0.9822364,0.01095284,0.0004193213,0.000913466,0.00001949389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1311505,0.001309602,0.8587024,0.0002575568,0.0003026223,0.0001634784,0.0002493953,0.002645949,0.00521845],"genre_scores_gemma":[0.7490212,0.0006614937,0.2442319,0.0001380033,0.0001452506,0.0001599939,0.0003754176,0.00005424848,0.005212463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00379427,"threshold_uncertainty_score":0.007544398,"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."}}