{"id":"W2095728430","doi":"10.1089/sur.2008.112","title":"Predicting Death in Necrotizing Soft Tissue Infections: A Clinical Score","year":2009,"lang":"en","type":"article","venue":"Surgical Infections","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Receiver operating characteristic; Framingham Risk Score; Hematocrit; Internal medicine; Mortality rate; Retrospective cohort study; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002427041,0.0006849973,0.0005374485,0.001754084,0.000197328,0.001000715,0.0005162514,0.0003967921,0.001111729],"category_scores_gemma":[0.009209975,0.0001328259,0.0004312967,0.0007991227,0.0004008214,0.0006525269,0.0009793269,0.0005944176,0.0003785276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370469,"about_ca_system_score_gemma":0.0007261169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006829547,"about_ca_topic_score_gemma":0.0008786081,"domain_scores_codex":[0.9990501,0.0003918143,0.0001497299,0.00008474945,0.0002655678,0.0000581129],"domain_scores_gemma":[0.9952639,0.001642758,0.001312162,0.0001401483,0.001110605,0.0005303608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002523914,0.00009453329,0.9875104,0.00003194203,0.00007128646,0.00005196077,0.00002618069,0.001447695,0.0003278943,0.00003611058,0.0004316201,0.009718054],"study_design_scores_gemma":[0.0001753281,0.002489762,0.9421397,0.00007303503,0.0001709015,0.001259559,0.0002554624,0.05084873,0.001212195,0.0006051846,0.0007390126,0.00003111065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949043,0.0002194787,0.003335082,0.0002080261,0.0000196301,0.00009983971,0.000469116,0.00004564417,0.0006989181],"genre_scores_gemma":[0.9952952,0.00009268865,0.003593702,0.00002597261,0.00002282812,0.00004216411,0.0008315648,0.000003640266,0.00009230344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002427041,"threshold_uncertainty_score":0.01283556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06626661509750567,"score_gpt":0.3999358668149039,"score_spread":0.3336692517173983,"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."}}