{"id":"W3045506621","doi":"10.2196/20488","title":"Digital Cardiovascular Biomarker Responses to Transcutaneous Cervical Vagus Nerve Stimulation: State-Space Modeling, Prediction, and Simulation","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Vagus Nerve Stimulation Research","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Center for Advancing Translational Sciences; National Institute of Mental Health; National Heart, Lung, and Blood Institute; U.S. Department of Veterans Affairs","keywords":"Photoplethysmogram; Biomarker; Medicine; Heart rate variability; Heart rate; Vagus nerve stimulation; Vagal tone; Cardiology; Electrocardiography; Stimulation; Internal medicine; Vagus nerve; Blood pressure; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0004404204,0.0002663622,0.0003991218,0.0002184105,0.0004491884,0.0002236016,0.000147888,0.0001258016,0.00002906404],"category_scores_gemma":[0.0007930194,0.0002576508,0.00009946446,0.0007438399,0.00009670893,0.0004076482,0.00008897536,0.0003180567,0.00002863112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009421832,"about_ca_system_score_gemma":0.0002683588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007394718,"about_ca_topic_score_gemma":0.000006954779,"domain_scores_codex":[0.9965397,0.0004284803,0.0005795744,0.0009567745,0.0008611822,0.0006343295],"domain_scores_gemma":[0.9974629,0.0005503122,0.00008059933,0.0003262325,0.0001569621,0.001422973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002942408,0.00009626918,0.01109261,0.000775787,0.00002621598,0.00007705602,0.003745901,0.9388402,0.0005485142,0.0001048347,0.0001759463,0.04157426],"study_design_scores_gemma":[0.001179207,0.0006997423,0.02506761,0.00002377834,0.00002799867,0.00004472958,0.00008135418,0.9694864,0.0000432258,0.0001091663,0.003015973,0.0002207769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538661,0.0005698689,0.03548259,0.00785119,0.00008663822,0.001408781,0.0002887895,0.0002456112,0.0002003975],"genre_scores_gemma":[0.9976952,0.0001349109,0.0002314549,0.00154634,0.0001407475,0.00004109773,0.00002152212,0.00004513673,0.0001435861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04382906,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126110136375496,"score_gpt":0.3842507216705915,"score_spread":0.2581405852950956,"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."}}