{"id":"W4280584357","doi":"10.1161/circoutcomes.15.suppl_1.189","title":"Abstract 189: Implementing Systematic Screening Driven By Quality Improvement Education (QIE) For Atrial Fibrillation During The Covid-19 Pandemic: Insight From Primary Care Setting In The United States","year":2022,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Axdev Group (Canada)","funders":"","keywords":"Medicine; Atrial fibrillation; Intervention (counseling); Family medicine; Pandemic; Stroke (engine); MEDLINE; Emergency medicine; Internal medicine; Coronavirus disease 2019 (COVID-19); Nursing","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":[0.01407715,0.0002384696,0.0002128062,0.0005927893,0.00136393,0.001537227,0.0009369887,0.000946731,0.0014532],"category_scores_gemma":[0.028163,0.0002124844,0.0006744283,0.0007358245,0.001109634,0.0009768375,0.002770784,0.001326026,0.0001004159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005930158,"about_ca_system_score_gemma":0.02772953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03233894,"about_ca_topic_score_gemma":0.05798005,"domain_scores_codex":[0.9887725,0.007061196,0.0005645488,0.0004676185,0.001220729,0.001913451],"domain_scores_gemma":[0.9800245,0.007142116,0.004076079,0.001237417,0.003115647,0.004404112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005611689,0.008243497,0.6554892,0.001855176,0.0003978915,0.000308468,0.01108895,0.001161959,0.001186592,0.001915534,0.0159791,0.3018124],"study_design_scores_gemma":[0.0009970249,0.006684777,0.9609475,0.00170198,0.0002328703,0.0001115818,0.01429394,0.002504693,0.0009110669,0.0009052805,0.0106669,0.00004240502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643152,0.001034644,0.001622504,0.02443928,0.0001595463,0.001758469,0.0005956935,0.00008052636,0.00599411],"genre_scores_gemma":[0.9914861,0.0004619313,0.002796617,0.004140018,0.00005700035,0.0006058887,0.0001860774,0.000005486448,0.0002608787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03233894,"threshold_uncertainty_score":0.07444793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09306791001189597,"score_gpt":0.3919187051491677,"score_spread":0.2988507951372718,"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."}}