{"id":"W2475183215","doi":"10.1097/shk.0000000000000437","title":"C-TERMINAL PORTION OF PRO-ARGININE-VASOPRESSIN (CT-PRO-AVP) AS A PREDICTIVE BIOMARKER IN SEPSIS","year":2015,"lang":"en","type":"letter","venue":"Shock","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Vasopressin; Copeptin; Medicine; Septic shock; Biomarker; Shock (circulatory); Sepsis; Internal medicine; Cardiogenic shock; Cardiology; Endocrinology; Myocardial infarction; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002680878,0.0005149382,0.001091759,0.000518393,0.0000285092,0.00002224869,0.0001716571,0.0005467405,0.0006906447],"category_scores_gemma":[0.0001867519,0.000410168,0.0003152576,0.000344748,0.0001332987,0.0000985372,0.00009411159,0.0008463852,0.0001547776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626037,"about_ca_system_score_gemma":0.0005461805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000543798,"about_ca_topic_score_gemma":0.00002943885,"domain_scores_codex":[0.9969378,0.0001303102,0.0007726963,0.0007341291,0.0009309023,0.0004941429],"domain_scores_gemma":[0.9982616,0.0001168513,0.0004714904,0.0007075107,0.0002892844,0.0001532774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004082194,0.0006070326,0.03850726,0.0004583588,0.0005884764,0.005218915,0.0003167591,0.000001756685,0.00007121262,0.000002927281,0.9483789,0.00544015],"study_design_scores_gemma":[0.009813254,0.004063318,0.1823375,0.005551919,0.002906843,0.001283352,0.000342807,0.0004759994,0.00397694,0.000734307,0.7874447,0.001069109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5148544,0.006364453,0.00002691863,0.4233326,0.001691746,0.006566367,0.0006558132,0.0002710049,0.04623668],"genre_scores_gemma":[0.7622917,0.0004531855,0.001162931,0.2106639,0.00305163,0.001557199,0.005285228,0.0003759176,0.01515839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474372,"threshold_uncertainty_score":0.999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09841001273113822,"score_gpt":0.3616146428912838,"score_spread":0.2632046301601455,"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."}}