{"id":"W2124080764","doi":"","title":"ECG recording sites for improving signal-to-noise ratio during atrial depolarisation","year":2014,"lang":"en","type":"article","venue":"Computing in Cardiology Conference","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amplitude; P wave; Node (physics); Magnetocardiography; SIGNAL (programming language); Lead (geology); Noise (video); Population; Electrocardiography; Signal-to-noise ratio (imaging); Acoustics; Mathematics; Statistics; Medicine; Cardiology; Physics; Computer science; Artificial intelligence; Optics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000831885,0.0001494115,0.000520885,0.0002172538,0.0001382198,0.00003713344,0.0001077482,0.0001384128,0.00000272485],"category_scores_gemma":[0.001219394,0.0001504872,0.0001885992,0.0001846655,0.00003289711,0.00004308603,0.00007746543,0.0002267523,0.000006864197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008954284,"about_ca_system_score_gemma":0.00007220711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006358991,"about_ca_topic_score_gemma":0.000006914438,"domain_scores_codex":[0.9986373,0.0001539192,0.0003640795,0.0004180448,0.00009717656,0.0003295274],"domain_scores_gemma":[0.9988619,0.0005257267,0.0001193543,0.0002302331,0.0001705267,0.00009222999],"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":[0.0001134089,0.000007179889,0.7615783,0.0001127195,0.00006838943,0.000007569372,0.0002545705,0.01116299,0.1809335,0.00004346033,0.00002189996,0.04569599],"study_design_scores_gemma":[0.002388116,0.0003516496,0.1962521,0.0002691809,0.0002221866,0.00004265365,0.000153388,0.7892305,0.01037544,0.0002797249,0.00009069761,0.0003442702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6298743,0.00004501105,0.369263,0.0001540631,0.000275848,0.0001868771,9.170976e-7,0.00005884823,0.0001410845],"genre_scores_gemma":[0.9845138,0.000003437726,0.01347427,0.00005757518,0.001852256,0.000009522937,0.00001884751,0.0000166264,0.00005368309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7780676,"threshold_uncertainty_score":0.6136692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299199229581679,"score_gpt":0.2907857705669243,"score_spread":0.2608658476087564,"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."}}