{"id":"W4402168464","doi":"10.3390/bioengineering11090883","title":"Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing","year":2024,"lang":"en","type":"article","venue":"Bioengineering","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Pattern recognition (psychology); Discrete cosine transform; Artificial intelligence; Computer science; Feature extraction; Compressed sensing; Feature (linguistics); Image (mathematics)","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":[0.0004934373,0.0004832075,0.000507078,0.001142206,0.0002046259,0.0004138237,0.0003474715,0.0004684794,0.0004636918],"category_scores_gemma":[0.001756644,0.0001140232,0.0002401723,0.000447107,0.0002510968,0.0004238284,0.0002272407,0.0005014863,0.0003058751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043607,"about_ca_system_score_gemma":0.0001745778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005282293,"about_ca_topic_score_gemma":0.0009154428,"domain_scores_codex":[0.9995691,0.00005801896,0.00003672831,0.00008240874,0.0002124137,0.00004124488],"domain_scores_gemma":[0.9990657,0.000352198,0.0001300083,0.0001130896,0.0002957258,0.0000432217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004856043,0.0001281411,0.01008783,0.0001681291,0.00005975662,0.0003595176,0.0001608288,0.005326204,0.3129845,0.0007249003,0.001411035,0.6681036],"study_design_scores_gemma":[0.00003769289,0.0004361738,0.05499658,0.00004917266,0.0001154306,0.002718756,0.0001952378,0.773299,0.1620577,0.001674125,0.00435174,0.00006839597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2528447,0.00120808,0.7425162,0.0001857267,0.0002665305,0.00008618578,0.0002479017,0.001555667,0.001089145],"genre_scores_gemma":[0.7267497,0.0005948356,0.2708696,0.00008141599,0.0001794901,0.000043718,0.0005039189,0.00007667415,0.0009007513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001142206,"threshold_uncertainty_score":0.002609551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735071434063851,"score_gpt":0.2686906942223647,"score_spread":0.2413399798817262,"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."}}