{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512598,0.0002367465,0.0002798249,0.0006615244,0.0002148931,0.0004392689,0.000257677,0.0004489443,0.0008554123],"category_scores_gemma":[0.004752831,0.0002184552,0.0004706077,0.000802667,0.0001380262,0.0004338289,0.0003656968,0.0005427297,0.000100313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438819,"about_ca_system_score_gemma":0.0003626126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004191047,"about_ca_topic_score_gemma":0.006711971,"domain_scores_codex":[0.9994018,0.0001949313,0.00009882746,0.00007708576,0.0001284827,0.00009881671],"domain_scores_gemma":[0.9960467,0.0005937507,0.002626285,0.000123875,0.0002981406,0.0003112394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002143452,0.00001343501,0.9995515,0.000003272811,0.00001752409,0.00001300671,0.00000601977,0.00002159011,0.00001191555,0.00000281421,0.00005512113,0.0002822281],"study_design_scores_gemma":[0.000002887399,0.00003482401,0.9995406,0.000004782576,0.000007505143,0.0001006512,0.00004728578,0.0002107438,0.00001331411,0.000009265204,0.00002648581,0.000001685085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992361,0.0001526457,0.00002931278,0.00006680028,0.000003703876,0.000002964073,0.0004286582,0.000001346358,0.00007852987],"genre_scores_gemma":[0.9992889,0.00008297622,0.00004632672,0.00002023046,0.00001098595,0.000005819587,0.0005066062,5.793204e-7,0.00003755497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004191047,"threshold_uncertainty_score":0.008333266,"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."}}