{"id":"W4408940528","doi":"10.3390/diagnostics15070849","title":"An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure","year":2025,"lang":"en","type":"article","venue":"Diagnostics","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Heart failure; Discrete cosine transform; Artificial intelligence; Pattern recognition (psychology); Computer science; Support vector machine; Sensitivity (control systems); Algorithm; Medicine; Internal medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006282284,0.0007054204,0.0006766759,0.0006023458,0.0003539839,0.0008540985,0.0006698307,0.0009141575,0.002205442],"category_scores_gemma":[0.001688895,0.0001962,0.0006143145,0.000340057,0.0003083675,0.0008000722,0.0004557888,0.0008816053,0.0006189588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005293062,"about_ca_system_score_gemma":0.0008868577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008429542,"about_ca_topic_score_gemma":0.005008171,"domain_scores_codex":[0.9997391,0.0000486735,0.00001758494,0.00007487413,0.00007665557,0.0000430276],"domain_scores_gemma":[0.9995509,0.0001978542,0.00005496635,0.00002950352,0.0001495522,0.00001722554],"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":[0.0002541919,0.0001644884,0.006194978,0.0001185412,0.00008821308,0.0001656927,0.00007445606,0.8783551,0.009892662,0.005560167,0.002353631,0.09677792],"study_design_scores_gemma":[0.000004599464,0.0000326987,0.00065949,0.000005122879,0.000008146656,0.00002659511,0.000004422388,0.9977197,0.0003995459,0.0006838838,0.0004499983,0.000005777929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07967103,0.0008140645,0.9129163,0.0003866837,0.0002422072,0.0001286982,0.0006789356,0.001182415,0.003979641],"genre_scores_gemma":[0.9259378,0.0004717526,0.06591625,0.0001122575,0.0001292454,0.0003405841,0.0009348384,0.00007045035,0.006086711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008429542,"threshold_uncertainty_score":0.01676095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005314173666586513,"score_gpt":0.2714201732887145,"score_spread":0.266105999622128,"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."}}