{"id":"W1564519958","doi":"10.1109/ccaa.2015.7148443","title":"Review: Comparison of QRS detection algorithms","year":2015,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ottawa Hospital Research Institute","keywords":"QRS complex; Robustness (evolution); Computer science; Algorithm; Artificial intelligence; Pattern recognition (psychology); Signal processing; Waveform; Representation (politics); Digital signal processing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617847,0.00003779729,0.0002136314,0.00003733055,0.00000906405,0.000001354459,0.00002039264,0.00002223571,0.00002389767],"category_scores_gemma":[0.00009567122,0.00002735021,0.00005645066,0.0001558468,0.00001163773,0.00001614819,0.000007111334,0.00005313551,0.00003445592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001984133,"about_ca_system_score_gemma":0.00001528893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527698,"about_ca_topic_score_gemma":0.000006581746,"domain_scores_codex":[0.9995826,0.00001345943,0.0001568616,0.0000659375,0.0001275836,0.00005354918],"domain_scores_gemma":[0.9996233,0.000009362477,0.00004471438,0.0001251343,0.0001231516,0.00007435738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004095782,0.0003441764,0.1299008,0.001058068,0.0001871047,0.000004049452,0.0002377405,0.00002211556,0.009258634,0.000008824656,0.05365528,0.8052823],"study_design_scores_gemma":[0.003430553,0.00212796,0.01048854,0.004973622,0.002357568,0.00005334735,0.002770107,0.05198978,0.6591274,0.0001042032,0.262127,0.0004498781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.570148,0.2295735,0.08179368,0.006188719,0.002045112,0.0009498433,0.00000378189,0.0006407338,0.1086566],"genre_scores_gemma":[0.9935019,0.0008709775,0.003055302,0.0001452649,0.0001480111,0.000002781281,0.000003111337,0.000004625947,0.00226804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048324,"threshold_uncertainty_score":0.1115309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09154178154163763,"score_gpt":0.3998406620719827,"score_spread":0.308298880530345,"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."}}