{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518723,0.0002492304,0.0004986715,0.0003820073,0.0003310654,0.00005647987,0.00003895896,0.0002760743,0.0004956525],"category_scores_gemma":[0.0004853655,0.0002184715,0.0003033591,0.001014705,0.00009028429,0.000208525,0.00003536632,0.0007391336,0.0002061213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001109,"about_ca_system_score_gemma":0.0001281341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007069906,"about_ca_topic_score_gemma":0.0003002315,"domain_scores_codex":[0.9980177,0.0001311696,0.0007344782,0.0004825601,0.0001858251,0.000448242],"domain_scores_gemma":[0.998679,0.0004171151,0.0001043723,0.000348965,0.0001255614,0.000324981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003854272,0.002923425,0.9747366,0.000009750353,0.00007029522,0.0003136239,0.00002643284,0.0001057826,0.00002836259,0.001278745,0.0001189251,0.0203495],"study_design_scores_gemma":[0.00361961,0.002321196,0.9634148,0.0002376904,0.0001466054,0.001587932,0.00002100307,0.0005835345,0.0001168803,0.00105154,0.02667382,0.0002253581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668717,0.0001651603,0.0006265066,0.0005864694,0.000536597,0.000870178,0.000006949719,0.0004413067,0.02989517],"genre_scores_gemma":[0.9980804,0.0001548414,0.0002382478,0.0001945213,0.0005235681,0.0001396187,0.00003194885,0.00002197841,0.0006148265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03120879,"threshold_uncertainty_score":0.890901,"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."}}