{"id":"W2523935123","doi":"10.1177/1747493016669885","title":"Cardiac monitoring for detection of atrial fibrillation after TIA: A systematic review and meta-analysis","year":2016,"lang":"en","type":"review","venue":"International Journal of Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"NIHR Imperial Biomedical Research Centre; National Institute for Health and Care Research","keywords":"Medicine; Atrial fibrillation; Internal medicine; Meta-analysis; Cardiology; Stroke (engine); Prospective cohort study; Randomized controlled trial; Observational study","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":[0.0008918033,0.0002243328,0.004786762,0.0007323303,0.00001706868,0.00003003497,0.0001196659,0.0001143265,0.00005427487],"category_scores_gemma":[0.0005483174,0.0001285246,0.007346378,0.0001676542,0.000019658,0.0001509198,0.00004127746,0.00009678021,0.000003135013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281178,"about_ca_system_score_gemma":0.00006373235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001644378,"about_ca_topic_score_gemma":2.632071e-7,"domain_scores_codex":[0.9972661,0.0001416305,0.001728248,0.0001528253,0.0006228256,0.00008834179],"domain_scores_gemma":[0.9958645,0.0005585009,0.002535197,0.0001584911,0.0008226448,0.00006067159],"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":[0.0001737979,0.000002343806,0.0002932803,0.3711621,0.5898888,0.00000761717,0.00001403525,0.000003782147,0.000008641329,0.00002443254,0.00001428548,0.03840689],"study_design_scores_gemma":[0.0003452336,0.00008190634,0.00003137556,0.02805234,0.884004,0.00003191246,0.000004622461,0.00000190442,0.00001087423,0.000009724828,0.08732416,0.000101921],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001360623,0.9959507,0.001586245,0.0002369103,0.0006772229,0.001351801,0.0001639054,0.000005150687,0.00001444971],"genre_scores_gemma":[0.001089352,0.9954231,0.0003097474,0.000009410417,0.00239063,0.00001115976,0.00001254504,0.00001994053,0.0007341077],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3431098,"threshold_uncertainty_score":0.7409018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117913335536812,"score_gpt":0.4125276472943635,"score_spread":0.3007363137406823,"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."}}