{"id":"W4409474027","doi":"10.1109/jbhi.2025.3561071","title":"Generative Reconstruction of Multimodal Cardiac Waveforms From a Single Vibrational Cardiography Sensor","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Computer science; Waveform; Artificial intelligence; Hidden Markov model; Generative grammar; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005787881,0.0007500398,0.0003845596,0.0003060151,0.0001544949,0.0004224287,0.0006565993,0.0007052308,0.001037995],"category_scores_gemma":[0.001714156,0.0003726929,0.0008704686,0.0002462948,0.0005305078,0.0003259761,0.0007470556,0.001035227,0.0002918616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426559,"about_ca_system_score_gemma":0.0004244994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735213,"about_ca_topic_score_gemma":0.004253518,"domain_scores_codex":[0.9997935,0.00004938529,0.000007817793,0.00007661172,0.00004597586,0.00002671632],"domain_scores_gemma":[0.9995508,0.0002759084,0.00005371036,0.00005144392,0.00004588215,0.00002220174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009198934,0.00003931348,0.002464832,0.00003885469,0.00005175452,0.0001829022,0.00007689246,0.9429557,0.01030222,0.002579697,0.000612986,0.04060275],"study_design_scores_gemma":[0.000002786442,0.00001953811,0.0007401735,0.000006555929,0.000007962659,0.00004900417,0.000006104554,0.9964035,0.001617658,0.0009401173,0.000199678,0.000006944625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003979,0.000335535,0.8965064,0.000301098,0.0000653382,0.00004895173,0.0002755741,0.000676222,0.001393018],"genre_scores_gemma":[0.9365165,0.0002900439,0.05921295,0.0002022572,0.00004791155,0.00007599207,0.0006204138,0.00008278209,0.002951143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003735213,"threshold_uncertainty_score":0.007426918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585739838896871,"score_gpt":0.2513753498217015,"score_spread":0.2355179514327327,"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."}}