{"id":"W2136937400","doi":"10.1097/01.ccm.0000120053.98734.2c","title":"Detailed cost analysis of care for survivors of severe sepsis","year":2004,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Intensive care medicine; Sepsis; Severe sepsis; Cost analysis; Internal medicine; Septic shock; Reliability engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166332,0.0001942098,0.001219884,0.0003429045,0.00004805591,0.000002526369,0.00008514133,0.0001192327,0.0004028389],"category_scores_gemma":[0.001404185,0.0001383146,0.0004272033,0.0007464235,0.0003677673,0.00002691059,0.0000231929,0.0000874164,0.000002426099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839342,"about_ca_system_score_gemma":0.0001122576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004871231,"about_ca_topic_score_gemma":0.001365322,"domain_scores_codex":[0.998417,0.00002969848,0.0005245499,0.0003127522,0.0004510269,0.0002649543],"domain_scores_gemma":[0.9972305,0.0007621347,0.0000714472,0.0004181614,0.001266637,0.0002511007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007899576,0.001101772,0.9508439,0.006343874,0.003990639,0.0001284147,0.01273798,0.0003005942,0.001143723,0.01001625,0.0005424911,0.01206045],"study_design_scores_gemma":[0.02257719,0.01121038,0.7458423,0.002964608,0.07101812,0.0000276074,0.1032647,0.0001011598,0.03862067,0.0006515433,0.003137478,0.0005842525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771178,0.01185539,0.0008802809,0.005724822,0.0002558807,0.00105774,0.0003718309,0.00003933551,0.002696896],"genre_scores_gemma":[0.9976702,0.00009123587,0.0009962725,0.0005108945,0.0001001633,0.0001054183,0.0004876609,0.00002232201,0.00001578306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050016,"threshold_uncertainty_score":0.5640306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067912390217971,"score_gpt":0.3871983145076408,"score_spread":0.3265191906054611,"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."}}