{"id":"W4416960578","doi":"10.1109/embc58623.2025.11254413","title":"Assessing Coronary Artery Disease Risk Using Seismocardiography in Patients with Chest Pain","year":2025,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heart Research Centre","funders":"","keywords":"Chest pain; Coronary artery disease; CAD; Categorical variable; Coronary angiography; Angiography; Electrocardiography; Framingham Risk Score","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002193279,0.0001992033,0.0001842887,0.0003501163,0.00007162698,0.0001016395,0.00009911104,0.00004969277,0.000005974372],"category_scores_gemma":[0.00003593476,0.0001871452,0.00006771985,0.0006889892,0.00003348948,0.0004727872,0.00003867521,0.0001918271,0.000002730231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449083,"about_ca_system_score_gemma":0.00003145548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003987473,"about_ca_topic_score_gemma":0.000005652616,"domain_scores_codex":[0.9990192,0.00008535976,0.0001955979,0.0002296995,0.0001717396,0.0002983708],"domain_scores_gemma":[0.9994776,0.000121039,0.00002438728,0.0002450635,0.00003365515,0.00009830587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001707061,0.00004466305,0.9689267,0.00007383627,0.00007331916,0.00002897032,0.00001760444,0.02008689,0.0002787098,0.000006466042,0.00002627886,0.01041946],"study_design_scores_gemma":[0.0006336873,0.00001950454,0.9924995,0.0002711849,0.000041554,2.246206e-7,0.00007928912,0.005811704,0.0002365444,0.0001302806,0.00004293989,0.0002336085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067354,0.0001301421,0.0912377,0.000004746447,0.0002630535,0.00021821,0.000006341433,0.0002097184,0.001194637],"genre_scores_gemma":[0.9959352,0.000007183776,0.003907572,0.00003991747,0.00004345162,0.0000152372,0.000008752429,0.00003573865,0.000006965493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08919974,"threshold_uncertainty_score":0.7631559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007254308043684265,"score_gpt":0.2084766920754319,"score_spread":0.2012223840317477,"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."}}