{"id":"W2042154909","doi":"10.1097/ccm.0000000000000859","title":"Frequency, Cost, and Risk Factors of Readmissions Among Severe Sepsis Survivors*","year":2015,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Center for Advancing Translational Sciences; University of Toronto; Medical University of South Carolina","keywords":"Medicine; Odds ratio; Sepsis; Internal medicine; Odds; Medicaid; Logistic regression; Confidence interval; Health care","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002237275,0.0002167825,0.0006156654,0.0001162953,0.00006955468,0.000006114158,0.00006273273,0.0001409535,0.0004102708],"category_scores_gemma":[0.005283733,0.0001373565,0.00007901716,0.0001964453,0.000647086,0.00005990294,0.00004502129,0.000222528,0.000006474956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108193,"about_ca_system_score_gemma":0.0001121045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005239953,"about_ca_topic_score_gemma":0.0003642747,"domain_scores_codex":[0.9984449,0.0001015618,0.0003561518,0.0003267083,0.0004899056,0.0002808199],"domain_scores_gemma":[0.9971383,0.0008225407,0.00005589443,0.0003666167,0.0005411342,0.001075525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002589019,0.0001541037,0.9914197,0.0001617834,0.00007325938,0.0000882185,0.002308115,3.789147e-7,0.00005260642,0.0005933721,0.003352846,0.001769722],"study_design_scores_gemma":[0.002876438,0.001900987,0.9640158,0.0007487326,0.00148476,0.00004568139,0.02499216,0.00002118516,0.001432319,0.0008364647,0.001453482,0.0001920238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830226,0.005683285,0.00003967635,0.002956963,0.0002831175,0.0003669744,0.00008298238,0.00005283066,0.007511606],"genre_scores_gemma":[0.9987158,0.0003314697,0.0003474563,0.0002184229,0.0001558773,0.00002745114,0.00009812952,0.00002481225,0.0000805714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02740394,"threshold_uncertainty_score":0.7921277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125783641943489,"score_gpt":0.3815959291802893,"score_spread":0.2690175649859404,"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."}}