{"id":"W1858098294","doi":"10.1109/cic.1993.378298","title":"Selection of a reduced set of parameters for classification of ventricular conduction defects by cluster analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Disjoint sets; Cluster analysis; Selection (genetic algorithm); QRS complex; Cluster (spacecraft); Set (abstract data type); Pattern recognition (psychology); Computer science; Data mining; Mathematics; Algorithm; Artificial intelligence; Combinatorics; Medicine; Cardiology","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":[0.002113537,0.00111913,0.002075769,0.002804995,0.0006670506,0.001538864,0.00113997,0.0008692949,0.0021789],"category_scores_gemma":[0.01373868,0.0004099067,0.001190091,0.001319366,0.0003773461,0.0005929323,0.0007869371,0.001095235,0.001340926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000754177,"about_ca_system_score_gemma":0.001548925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005994389,"about_ca_topic_score_gemma":0.003951648,"domain_scores_codex":[0.9987558,0.0004792167,0.0001451454,0.0002247198,0.0002869352,0.000108166],"domain_scores_gemma":[0.9957949,0.001891164,0.0001444237,0.0007508396,0.00128969,0.0001289925],"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":[0.002340027,0.0007260786,0.02809035,0.0002895679,0.0005466921,0.0002255731,0.0004368238,0.145316,0.06212165,0.002922223,0.01040466,0.7465804],"study_design_scores_gemma":[0.0003310771,0.0004166072,0.03670936,0.00006101871,0.0003799222,0.0002464926,0.0002456279,0.9301166,0.02136095,0.004823492,0.005158217,0.000150688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3617509,0.0004505333,0.6273614,0.000655234,0.0001153585,0.0008840595,0.002380391,0.003466295,0.002935861],"genre_scores_gemma":[0.5727355,0.0001414726,0.4188077,0.00009140842,0.00006954092,0.0009511051,0.005868287,0.0003387307,0.0009962232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005994389,"threshold_uncertainty_score":0.01191896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952810717923588,"score_gpt":0.3001323389335492,"score_spread":0.2506042317543133,"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."}}