{"id":"W4386151534","doi":"10.14309/ctg.0000000000000627","title":"Terlipressin vs Midodrine Plus Octreotide for Hepatorenal Syndrome-Acute Kidney Injury: A Propensity Score–Matched Comparison","year":2023,"lang":"en","type":"article","venue":"Clinical and Translational Gastroenterology","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; Northwell Health; Virginia Commonwealth University; Mallinckrodt Pharmaceuticals; University of Washington; University of Pennsylvania","keywords":"Terlipressin; Medicine; Hepatorenal syndrome; Midodrine; Internal medicine; Acute kidney injury; Clinical endpoint; Octreotide; Confidence interval; Renal function; Propensity score matching; Creatinine; Kidney disease; Gastroenterology; Population; Randomized controlled trial; Blood pressure; Cirrhosis; Somatostatin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002836871,0.0001746789,0.0006074014,0.0001024704,0.00009335997,0.00001595435,0.00006931995,0.0001114115,0.00004508174],"category_scores_gemma":[0.00002308904,0.0001458743,0.0002033462,0.00009531891,0.0002703926,0.00009412709,0.00001871148,0.0002078493,0.00002577202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006491158,"about_ca_system_score_gemma":0.0001099544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176788,"about_ca_topic_score_gemma":0.00001499534,"domain_scores_codex":[0.9983763,0.0001005203,0.0006117863,0.0004172777,0.0001772291,0.0003168907],"domain_scores_gemma":[0.9991486,0.0001631626,0.00009382939,0.0001327939,0.00008533885,0.0003762662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01454735,0.0002157358,0.9827663,0.0001941675,0.0006350768,0.0001066853,0.00009077098,0.000006520624,0.0001692313,0.0001034852,0.0007993159,0.0003653631],"study_design_scores_gemma":[0.008074184,0.001994758,0.982693,0.000107402,0.0009723972,0.0001203234,0.000004836182,0.004994241,0.00006681999,0.0005607433,0.0003221327,0.00008920702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890227,0.00001655946,0.002901473,0.006405876,0.0002538158,0.0006676597,0.0006116905,0.0001009876,0.00001924716],"genre_scores_gemma":[0.9948547,0.00005840812,0.0008169732,0.001821637,0.0001568914,0.00006996746,0.002108765,0.00001874412,0.00009392057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00647317,"threshold_uncertainty_score":0.5948583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285747862457277,"score_gpt":0.3584494379653448,"score_spread":0.2755919593407721,"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."}}