{"id":"W2525334283","doi":"10.1016/j.cjca.2016.07.330","title":"FRAILTY ASSESSMENT AND ATRIAL FIBRILLATION: A SYSTEMATIC REVIEW AND META-ANALYSIS OF PREVALENCE AND EFFECT ON PRESCRIPTION OF ANTICOAGULATION","year":2016,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Atrial fibrillation; Medical prescription; Stroke (engine); Risk stratification; Intensive care medicine; Meta-analysis; Vitamin k; Internal medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008677684,0.002108258,0.01613357,0.003937163,0.000519592,0.002611442,0.001896517,0.002507841,0.003642278],"category_scores_gemma":[0.03017569,0.001466674,0.02848627,0.00522268,0.0007261923,0.001703451,0.001617499,0.002153467,0.0002373088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669644,"about_ca_system_score_gemma":0.003457141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007616642,"about_ca_topic_score_gemma":0.02386171,"domain_scores_codex":[0.9943321,0.002056603,0.002122513,0.0006583735,0.0006299323,0.0002005813],"domain_scores_gemma":[0.9863204,0.009863466,0.00244239,0.0004422404,0.0007294661,0.0002020026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002533059,0.00005835282,0.005060055,0.3778962,0.5914099,0.0001365769,0.00009963327,0.0003661041,0.0002218287,0.0001136589,0.0006434135,0.02146121],"study_design_scores_gemma":[0.0008778263,0.0002287237,0.005465895,0.02065806,0.9706475,0.0001355262,0.00005028904,0.0001140002,0.00006193756,0.0001652272,0.001564269,0.00003084842],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003507542,0.9957247,0.0002130203,0.00009139364,0.00007482523,0.00007970598,0.0002033827,0.000009572698,0.00009594088],"genre_scores_gemma":[0.1240923,0.8722395,0.001800089,0.0007720345,0.0002090765,0.0002623113,0.0004131408,0.00001536245,0.0001961324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01613357,"threshold_uncertainty_score":0.04589248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.416396062197078,"score_gpt":0.4697575538635717,"score_spread":0.05336149166649362,"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."}}