{"id":"W4392354366","doi":"10.18280/ria.380126","title":"ECG Signal Reconstruction from PPG Using Hybrid Deep Neural Networks","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Artificial intelligence; SIGNAL (programming language); Deep neural networks; Pattern recognition (psychology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001876078,0.0001722646,0.0002734953,0.0001539458,0.0001426731,0.0001137006,0.0000974214,0.0000813162,0.0008240694],"category_scores_gemma":[0.00004100823,0.0001610225,0.0002328572,0.0004651716,0.00008287204,0.0001357443,0.0000348061,0.0003747543,0.0002008637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000987873,"about_ca_system_score_gemma":0.00002967544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002137373,"about_ca_topic_score_gemma":0.000007287791,"domain_scores_codex":[0.9986401,0.00004285637,0.0004099264,0.0004539851,0.0001524358,0.0003007389],"domain_scores_gemma":[0.9992693,0.0001453593,0.00005610358,0.0003131823,0.00007648361,0.0001395634],"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":[0.00003972921,0.00005821694,0.004935789,0.0000724832,0.0001549654,0.0002726348,0.0002466994,0.2563192,0.01464381,0.00003568854,0.0001606225,0.7230602],"study_design_scores_gemma":[0.00002393664,0.00005834301,0.00003211807,0.0003569267,0.0002206718,0.0002664738,0.000389109,0.9604999,0.0372106,0.0003579993,0.0004273945,0.0001564875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.451243,0.003593493,0.5425889,0.0003266041,0.001391066,0.0001099574,0.000006306043,0.0001871181,0.0005535162],"genre_scores_gemma":[0.9943339,0.0001494929,0.003165384,0.00006753903,0.001502239,0.000005615711,0.00003076231,0.00003153583,0.0007135197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7229037,"threshold_uncertainty_score":0.9022982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345380929297962,"score_gpt":0.2918833405244925,"score_spread":0.2484295312315129,"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."}}