{"id":"W1607756659","doi":"10.3310/hta12280","title":"Intravenous magnesium sulphate and sotalol for prevention of atrial fibrillation after coronary artery bypass surgery","year":2008,"lang":"en","type":"article","venue":"UEA Digital Repository (University of East Anglia)","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics","funders":"National Institute for Health and Care Research","keywords":"Medicine; Atrial fibrillation; Sotalol; Coronary artery bypass surgery; Cardiology; Internal medicine; Magnesium; Bypass surgery; Artery; Coronary artery disease; Anesthesia","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":[0.00005861776,0.0001038624,0.000461865,0.00009123186,0.00007631281,0.000009632458,0.00003042426,0.00008983653,0.000008905453],"category_scores_gemma":[0.00003538441,0.0001153786,0.0005746266,0.00007894006,0.0001868422,0.000315548,0.00002639162,0.00003717206,0.000002203124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000272224,"about_ca_system_score_gemma":0.00006938661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001719343,"about_ca_topic_score_gemma":0.000002606574,"domain_scores_codex":[0.9992805,0.00002565569,0.0001844628,0.0001797524,0.000200879,0.0001287524],"domain_scores_gemma":[0.9993101,0.0001939432,0.0001394267,0.0001335157,0.0001250373,0.00009800531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006753174,0.0001195588,0.9609236,0.0003675806,0.0002612985,0.001405355,0.0007007751,0.000009913271,0.001134959,0.00006106352,0.0001745226,0.02808818],"study_design_scores_gemma":[0.001823985,0.0005310545,0.9900244,0.0000822572,0.000293299,0.001582287,0.0005717059,0.00006548657,0.0002341882,0.00002369183,0.004596635,0.0001710384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972045,0.0005514266,0.0001572172,0.00007264714,0.0001358622,0.0002348027,0.00002645599,0.00002352207,0.001593511],"genre_scores_gemma":[0.9926432,0.00003483635,0.0001166683,0.000005385535,0.0001452658,2.681711e-7,0.00004519277,0.000009718191,0.006999485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02910075,"threshold_uncertainty_score":0.4705005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443628501609701,"score_gpt":0.1936667523013548,"score_spread":0.1792304672852578,"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."}}