{"id":"W2794916125","doi":"10.1002/hep.29903","title":"Hepatocyte microvesicle levels improve prediction of mortality in patients with cirrhosis","year":2018,"lang":"en","type":"article","venue":"Hepatology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Agence Nationale de la Recherche; Canadian Association for the Study of the Liver","keywords":"Cirrhosis; Medicine; Hepatocyte; Liver disease; Internal medicine; Gastroenterology; Chronic liver disease; Microvesicle; Portal hypertension; Portal venous pressure; Microvesicles; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579834,0.0004040377,0.0003447827,0.0004638764,0.0002213909,0.0004857736,0.0001728444,0.0004220542,0.001062423],"category_scores_gemma":[0.001773915,0.0001633267,0.0003279918,0.0003015225,0.0001772918,0.0002971788,0.0004337884,0.0005171351,0.0002354333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830087,"about_ca_system_score_gemma":0.0001668447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390623,"about_ca_topic_score_gemma":0.001747634,"domain_scores_codex":[0.9998023,0.00006851052,0.00002250378,0.0000407927,0.00003398225,0.00003192727],"domain_scores_gemma":[0.9991208,0.0002484212,0.0002750081,0.00004209362,0.0001033683,0.0002103162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001872776,0.00001081582,0.9985019,0.000003331019,0.000019662,0.0000182714,0.000009092246,0.00006906097,0.0002157809,0.000004538912,0.00003984954,0.0009205399],"study_design_scores_gemma":[0.000009634882,0.0001741345,0.997806,0.000005803906,0.00003134171,0.0001623638,0.00005157036,0.001461097,0.0001865578,0.00002887909,0.0000787714,0.000003761082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991264,0.0002996362,0.0001464225,0.00004794427,0.000009601802,0.000003988801,0.00008310915,0.000007654062,0.0002752298],"genre_scores_gemma":[0.9997243,0.00003900847,0.00007221477,0.00001108872,0.000008590495,0.000001578402,0.00008338355,8.832611e-7,0.00005892784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390623,"threshold_uncertainty_score":0.003554165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061332235140714,"score_gpt":0.2364367644733529,"score_spread":0.2258234421219458,"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."}}