{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040525,0.000291282,0.0003360954,0.001230689,0.0001396903,0.0004758749,0.0003584877,0.0003238061,0.001246575],"category_scores_gemma":[0.00676454,0.0001601972,0.000644206,0.001468178,0.0001502772,0.0004766769,0.0003991437,0.0002997492,0.0000746068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633683,"about_ca_system_score_gemma":0.0009076802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016646,"about_ca_topic_score_gemma":0.01946152,"domain_scores_codex":[0.9990978,0.0004839859,0.00008630289,0.00006540954,0.0001713241,0.00009516325],"domain_scores_gemma":[0.9980156,0.0005913901,0.0009539956,0.0001170046,0.0002010064,0.0001208027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008402831,0.0001047457,0.9342435,0.0001388263,0.0006670579,0.0002431516,0.00009222115,0.03746787,0.0001954552,0.0009166257,0.001374898,0.02371544],"study_design_scores_gemma":[0.0000661974,0.0004702695,0.9469545,0.0000562138,0.0002115962,0.000507442,0.0001873338,0.04886262,0.0001553164,0.0009639292,0.001540343,0.00002422931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955044,0.000957505,0.0008382994,0.0002184466,0.00001012624,0.00004304538,0.002063312,0.000009544294,0.0003554808],"genre_scores_gemma":[0.9968253,0.0002266597,0.0005780705,0.00002353278,0.00001395669,0.00002518494,0.002159169,0.000002287448,0.0001458433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016646,"threshold_uncertainty_score":0.03309822,"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."}}