{"id":"W2105768825","doi":"10.1109/cic.1989.130516","title":"Multigroup diagnostic classification using body surface potential maps","year":2003,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linear discriminant analysis; Left ventricular hypertrophy; Normalization (sociology); Myocardial infarction; QRS complex; Electrocardiography; Medicine; Cardiology; Mathematics; Pattern recognition (psychology); Artificial intelligence; Torso; Statistics; Internal medicine; Computer science","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":[0.0001428894,0.00008480599,0.0001444077,0.00004803393,0.00007986039,0.0000188907,0.000029475,0.00005964985,0.0001418768],"category_scores_gemma":[0.0003421661,0.0000711273,0.00007925897,0.0001745383,0.00002289973,0.00004608931,0.000006240949,0.00009271059,0.00008060196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004949853,"about_ca_system_score_gemma":0.00003287575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453071,"about_ca_topic_score_gemma":0.000002371192,"domain_scores_codex":[0.9992921,0.00004303557,0.0001571991,0.0001814922,0.0001678383,0.0001583644],"domain_scores_gemma":[0.9995033,0.00008156108,0.00004053546,0.0002082211,0.0000698503,0.00009653668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001995153,0.0003846046,0.5163531,0.00005444597,0.0001620988,0.00007457607,0.00007462519,0.001327891,0.478113,0.000794169,0.0008600292,0.001781562],"study_design_scores_gemma":[0.005912276,0.0003583829,0.4307441,0.0004199147,0.00281228,0.0002943021,0.003684376,0.3690813,0.1737711,0.0004131147,0.01140209,0.001106671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765818,0.000148824,0.01899139,0.0001950373,0.0002298146,0.00009228546,0.000001175238,0.00007440997,0.003685266],"genre_scores_gemma":[0.9838461,0.00004237398,0.0127644,0.00004949126,0.0001340211,0.000001535522,0.00001363413,0.00001287452,0.003135591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677534,"threshold_uncertainty_score":0.2900487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303561317781443,"score_gpt":0.3002387599772542,"score_spread":0.2672031467994397,"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."}}