{"id":"W3173900688","doi":"10.1096/fasebj.22.1_supplement.1141.19","title":"Mathematical Model of Tissue Oxygenation in Early Sepsis","year":2008,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Sepsis; Oxygenation; Perforation; Blood flow; Hemodynamics; Medicine; In vivo; Subcutaneous tissue; Skeletal muscle; Lean tissue; Cardiology; Anatomy; Anesthesia; Adipose tissue; Internal medicine; Pathology; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00048008,0.0007706996,0.0008161145,0.0005746558,0.0003864657,0.001050317,0.00146695,0.002036996,0.002809631],"category_scores_gemma":[0.001665215,0.0005125568,0.0008256756,0.0004406334,0.0008944209,0.001090355,0.001207001,0.001226772,0.0005808145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184824,"about_ca_system_score_gemma":0.001135094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007431021,"about_ca_topic_score_gemma":0.002532047,"domain_scores_codex":[0.9997525,0.00006443372,0.00001244437,0.0000525427,0.00007144771,0.00004680019],"domain_scores_gemma":[0.9994891,0.0002102253,0.0001072622,0.00002416344,0.0001253576,0.00004392673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003872387,0.00002673761,0.0003999624,0.00006295967,0.00001503166,0.0001188885,0.00007715894,0.9667154,0.00503559,0.02524948,0.0005965577,0.001663548],"study_design_scores_gemma":[0.000007816028,0.00001141569,0.0001061074,0.00000407167,0.00000425051,0.00001886536,0.000007404776,0.997215,0.0001761607,0.001914676,0.0005290749,0.000005123663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1294832,0.001771381,0.8223801,0.00250519,0.0003537434,0.0002171082,0.001122378,0.0005529621,0.04161393],"genre_scores_gemma":[0.9079462,0.001852422,0.04139377,0.0006005279,0.0001480504,0.001129805,0.0006367672,0.0002073142,0.04608519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007431021,"threshold_uncertainty_score":0.01477557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111319914717009,"score_gpt":0.3314158208784152,"score_spread":0.2202838294067143,"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."}}