{"id":"W3111917158","doi":"10.14740/cr1186","title":"Predictability of Inpatient Mortality of Different Comorbidities in Both Types of Acute Decompensated Heart Failure: Analysis of National Inpatient Sample","year":2020,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictability; Medicine; Acute decompensated heart failure; Internal medicine; Cardiology; Heart failure; Sample (material); Emergency medicine; Intensive care medicine; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009242253,0.0001124456,0.001278108,0.0005216991,0.0000186305,0.000001387346,0.0001161647,0.00009469401,0.0001292862],"category_scores_gemma":[0.0005053352,0.00008879807,0.0002662605,0.001040482,0.0005370526,0.00002726247,0.0001796157,0.000188028,8.4193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009955381,"about_ca_system_score_gemma":0.0001807113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005319389,"about_ca_topic_score_gemma":0.000159822,"domain_scores_codex":[0.9975014,0.0005519163,0.0006905311,0.0002656993,0.0007671587,0.0002232394],"domain_scores_gemma":[0.9982414,0.0005368633,0.000130813,0.0003137868,0.0006806201,0.00009656161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004131492,0.0003420144,0.9875873,0.0003216036,0.003697942,0.000003746335,0.0007792821,0.0003369848,0.00517636,0.0003721664,0.0009252403,0.00004416265],"study_design_scores_gemma":[0.0009932563,0.001283321,0.9874396,0.00003152627,0.0006629462,4.986323e-7,0.0003320354,0.0008622438,0.008052859,0.0001072247,0.00018458,0.00004986068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975703,0.00007062395,0.0000996101,0.0009645012,0.00002403049,0.0006570226,0.000407483,0.000007755082,0.0001986773],"genre_scores_gemma":[0.9991218,0.00004261747,0.0003878744,0.00002489807,0.00001660167,0.00004035134,0.0003533624,0.000006286714,0.000006144704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003034996,"threshold_uncertainty_score":0.362108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169523537898421,"score_gpt":0.4002108686916136,"score_spread":0.2832585149017715,"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."}}