{"id":"W4311163363","doi":"10.18280/ts.390504","title":"Beat-by-Beat ECG Monitoring from Photoplythmography Based on Scattering Wavelet Transform","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beat (acoustics); Wavelet transform; Wavelet; Speech recognition; Computer science; Artificial intelligence; Acoustics; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002303291,0.0004638753,0.0003396356,0.0003209256,0.0003820874,0.0001049115,0.0004279114,0.00006971043,0.001250351],"category_scores_gemma":[0.000003149829,0.0005419673,0.000250176,0.0004502058,0.00003960354,0.0002180838,0.0000572684,0.000514133,0.00002912439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004483594,"about_ca_system_score_gemma":0.00002032692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005851,"about_ca_topic_score_gemma":0.000002679992,"domain_scores_codex":[0.997473,0.00006000058,0.000455536,0.0004916668,0.0008405001,0.000679318],"domain_scores_gemma":[0.9992375,0.0001566367,0.00005221032,0.0003203044,0.00002359485,0.0002097352],"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":[0.0001109111,0.0001982276,0.01579477,0.00008274535,0.0001833757,0.00007748631,0.000509454,0.06692293,0.8953599,0.000009063208,0.0009374999,0.01981358],"study_design_scores_gemma":[0.002797631,0.0005600083,0.004827901,0.0001769006,0.00009200192,0.000005601302,0.0004929049,0.0230889,0.9589484,0.0001817217,0.007635172,0.001192898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640791,0.0004006783,0.02986723,0.0001455537,0.001623075,0.0007293966,0.0005898938,0.0008038632,0.001761157],"genre_scores_gemma":[0.9969926,0.00002064004,0.001516351,0.0001131561,0.0005823824,0.0004776074,0.0001399038,0.0001375456,0.00001978693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0635884,"threshold_uncertainty_score":0.9997032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00836062586631302,"score_gpt":0.189170509747674,"score_spread":0.1808098838813609,"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."}}