{"id":"W4388818535","doi":"10.1007/s11276-023-03566-4","title":"Classification of pathological ECG beats based on wireless body sensor networks and fractional Fourier transform and convolutional neural network","year":2023,"lang":"en","type":"article","venue":"Wireless Networks","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Deep learning; Frequency domain; Abnormality; SIGNAL (programming language); Speech recognition; Computer vision; Medicine","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":[0.0004793761,0.000263293,0.000527858,0.0001378177,0.000260652,0.00003061524,0.0000685998,0.000360254,0.00003388771],"category_scores_gemma":[0.00002584767,0.0002262936,0.0001496624,0.0005868218,0.0002606048,0.00006893613,0.00002788903,0.0005693084,0.000003759225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004458353,"about_ca_system_score_gemma":0.00004037547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001323894,"about_ca_topic_score_gemma":0.000006243968,"domain_scores_codex":[0.9980888,0.0001147977,0.0004366665,0.0004869474,0.0004057692,0.0004670517],"domain_scores_gemma":[0.998742,0.0004850389,0.0001604782,0.0002525538,0.0001286758,0.0002312639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001221639,0.0002742712,0.4599715,0.0001102104,0.0002218473,0.0001300626,0.00005526584,0.4356815,0.0004992274,0.0004035537,0.002775026,0.09865588],"study_design_scores_gemma":[0.0008754667,0.0001816349,0.316177,0.0001367538,0.0001318899,0.00002220258,0.00004645807,0.6820797,0.000009855188,0.00003636093,0.0001613004,0.0001413017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596512,0.000381385,0.03732533,0.001482287,0.0004103572,0.0003033305,0.00001559899,0.0001950566,0.0002354153],"genre_scores_gemma":[0.9966934,0.0005209458,0.0005267594,0.0002545996,0.00132929,0.0000438171,0.0002824027,0.00003504771,0.0003137363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2463983,"threshold_uncertainty_score":0.9227986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280320961695555,"score_gpt":0.2718654723974887,"score_spread":0.2490622627805332,"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."}}