{"id":"W2611106867","doi":"10.1016/j.cmi.2017.04.025","title":"Clinical predictors and clinical prediction rules to estimate initial patient risk for infective endocarditis in Staphylococcus aureus bacteraemia: a systematic review and meta-analysis","year":2017,"lang":"en","type":"review","venue":"Clinical Microbiology and Infection","topic":"Infective Endocarditis Diagnosis and Management","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sinai Health System; Queen's University; McMaster University; University of Toronto; University Health Network","funders":"Pfizer Canada","keywords":"Infective endocarditis; Staphylococcus aureus; Meta-analysis; Endocarditis; Medicine; Bacteremia; Intensive care medicine; Staphylococcal infections; Microbiology; Internal medicine; Biology; Antibiotics; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006199006,0.0008087383,0.0133118,0.0005883157,0.0002947951,0.00008792881,0.0001209114,0.001384542,0.00003007987],"category_scores_gemma":[0.009887581,0.0005685504,0.004307078,0.0002657499,0.0006864978,0.0001678964,0.0003249087,0.001606508,0.0000161338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287282,"about_ca_system_score_gemma":0.0001391516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007415625,"about_ca_topic_score_gemma":0.0001887296,"domain_scores_codex":[0.9885496,0.00438812,0.004771754,0.001716705,0.00009469191,0.0004790805],"domain_scores_gemma":[0.9902976,0.005648113,0.002482683,0.0008344498,0.0003317294,0.0004054401],"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":[0.0001202346,0.001443927,0.1620569,0.3125526,0.3140987,0.00005717739,0.00004764932,0.000001668441,1.388229e-7,0.0000741564,0.002733534,0.2068133],"study_design_scores_gemma":[0.001556579,0.004302788,0.1147283,0.01757649,0.7324007,0.0001051597,0.000003304508,0.000009059147,1.450505e-7,0.00004072612,0.1288098,0.0004670228],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01212236,0.9697384,0.0005992569,0.00005278809,0.001232688,0.01380245,0.002285362,0.0000779868,0.00008876115],"genre_scores_gemma":[0.002561629,0.9920828,0.0002264145,0.0007079496,0.0004028419,0.00312271,0.0008325275,0.00005309123,0.00001007274],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.418302,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233025268372075,"score_gpt":0.4763480463322247,"score_spread":0.3530455194950172,"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."}}