{"id":"W2112992691","doi":"10.1109/tbme.2006.881782","title":"A Granular Description of ECG Signals","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Signal processing; Speech recognition; Engineering; Electronic engineering; Digital signal processing","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":[0.001135334,0.0007565568,0.0007779729,0.003512374,0.0005492524,0.003915095,0.001138521,0.001054565,0.002823808],"category_scores_gemma":[0.004235721,0.0003454631,0.0008249316,0.002945664,0.001271126,0.003660674,0.001429967,0.00126902,0.000803518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005521941,"about_ca_system_score_gemma":0.0005870264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213853,"about_ca_topic_score_gemma":0.001373392,"domain_scores_codex":[0.9989738,0.0002349081,0.0001624531,0.0002021696,0.0003378727,0.00008882522],"domain_scores_gemma":[0.9987197,0.0004561731,0.0001724267,0.0003399604,0.0002336104,0.00007826908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003105021,0.00006563929,0.002131504,0.0007259143,0.0001034726,0.001142836,0.001188728,0.07217772,0.01984094,0.7411016,0.007323829,0.1538873],"study_design_scores_gemma":[0.00005542325,0.0001927003,0.003724046,0.0003676446,0.0001479362,0.001368443,0.0006436839,0.3330703,0.004586147,0.5781571,0.0775445,0.0001420185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008243245,0.001308952,0.9829402,0.0004762746,0.0001674115,0.0001145174,0.001065748,0.0005151436,0.005168536],"genre_scores_gemma":[0.2997762,0.003253259,0.6892709,0.0004053653,0.0004755959,0.0003517254,0.001752563,0.000173512,0.004540928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003915095,"threshold_uncertainty_score":0.009446561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158909661920036,"score_gpt":0.2252124117685181,"score_spread":0.2136233151493177,"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."}}