{"id":"W2090324504","doi":"10.1161/strokeaha.109.570382","title":"Prevalence and Predictors of Paroxysmal Atrial Fibrillation on Holter Monitor in Patients With Stroke or Transient Ischemic Attack","year":2010,"lang":"en","type":"article","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Atrial fibrillation; Internal medicine; Stroke (engine); Cardiology; Odds ratio; Confidence interval; Lesion; Logistic regression; Holter monitor; Electrocardiography; Surgery","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":[0.0001044309,0.0001346327,0.000240827,0.0001309335,0.00002489739,0.0000102555,0.00004108132,0.00008380564,0.00008242788],"category_scores_gemma":[0.00007239083,0.00009227059,0.00007327317,0.00009125184,0.00006561487,0.0001087985,0.00001852144,0.0001371657,0.000003766345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001695841,"about_ca_system_score_gemma":0.00002567375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007538868,"about_ca_topic_score_gemma":0.00001058995,"domain_scores_codex":[0.9989714,0.0000201268,0.0002761178,0.0002188982,0.0003564187,0.000157019],"domain_scores_gemma":[0.9995015,0.00008194263,0.0001123228,0.0001798137,0.00005380794,0.00007066529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003902617,0.000008131408,0.9929946,0.0001089271,0.00004930387,0.000001160065,0.0001073798,0.00007129955,0.001049477,0.000007314556,0.0001246314,0.001575162],"study_design_scores_gemma":[0.005670653,0.0009643054,0.9886819,0.00007321179,0.0001156506,5.323625e-7,0.00002009831,0.0001091807,0.001319723,3.78379e-7,0.002949639,0.00009468847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979578,0.00001837881,0.000009755218,0.0001585021,0.0003578324,0.0007372812,0.00006018002,0.00002240803,0.0006778745],"genre_scores_gemma":[0.9972104,0.00001869294,0.0002973732,0.000011289,0.0007185901,0.000001093739,0.00002239041,0.00001395345,0.001706189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004312657,"threshold_uncertainty_score":0.3762686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225786401067707,"score_gpt":0.2854255754458467,"score_spread":0.2631677114351696,"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."}}