{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01267033,0.0002128784,0.0007858802,0.0001668546,0.001340253,0.0001186474,0.0001332866,0.0000972862,0.0000109962],"category_scores_gemma":[0.001259773,0.0001501596,0.000614727,0.0003578388,0.00003159324,0.0001481104,0.00006892853,0.0003280265,3.307678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065208,"about_ca_system_score_gemma":0.0007371801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03154757,"about_ca_topic_score_gemma":0.0003657479,"domain_scores_codex":[0.9938552,0.002835114,0.001483186,0.0004561574,0.001001593,0.0003687276],"domain_scores_gemma":[0.9963667,0.001931566,0.0007314832,0.0006127889,0.000199849,0.0001576498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006613983,0.00001702226,0.9351209,0.02284791,0.00065051,0.000001187454,0.02253521,0.007788314,0.00008264869,0.0001415536,0.00002807521,0.01072051],"study_design_scores_gemma":[0.00252127,0.0000275881,0.9326333,0.0002501647,0.0002238082,0.00001678446,0.05189295,0.0008003905,0.000001720011,0.00007404135,0.01135561,0.0002023963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800404,0.00578415,0.004678498,0.004075359,0.000233604,0.004750975,0.0003502576,0.00006281365,0.00002391732],"genre_scores_gemma":[0.9914942,0.00007386477,0.0001036051,0.003081965,0.0003616057,0.0002878639,0.004566406,0.00002292623,0.000007551152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03118182,"threshold_uncertainty_score":0.9999599,"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."}}