{"id":"W1992547614","doi":"10.1159/000276577","title":"Phenylethanolamine N-Methyltransferase Gene Polymorphisms and Adverse Outcomes in Acute Kidney Injury","year":2010,"lang":"en","type":"article","venue":"Nephron Clinical Practice","topic":"Synthesis and Biological Activity","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; University of California, San Diego; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Kidney Foundation of Canada; National Center for Research Resources; American Heart Association","keywords":"Medicine; Phenylethanolamine N-methyltransferase; Acute kidney injury; Adverse effect; Phenylethanolamine; Internal medicine; Gene; Kidney; Endocrinology; Genetics","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":[0.000692954,0.0003183839,0.0003046534,0.0003870981,0.0002497192,0.000318666,0.0002534967,0.0003887557,0.001337785],"category_scores_gemma":[0.001652766,0.0001306822,0.0004032948,0.0004993789,0.000205089,0.0001391569,0.0002112264,0.0004569749,0.0001228149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576024,"about_ca_system_score_gemma":0.0001956674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491239,"about_ca_topic_score_gemma":0.001190312,"domain_scores_codex":[0.9996862,0.0001178982,0.00003512988,0.00008117629,0.00004284198,0.00003675458],"domain_scores_gemma":[0.9984927,0.0003899583,0.0007156667,0.00007930458,0.0001103051,0.0002119424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004594923,0.00004305469,0.9963934,0.0000232616,0.0002217853,0.0001255259,0.00002298807,0.00006071372,0.001365247,0.000015123,0.00003784368,0.001231431],"study_design_scores_gemma":[0.00001367307,0.0001005631,0.9988089,0.000007298786,0.0001206814,0.0003544301,0.00001383188,0.0001740175,0.0002993114,0.00004565449,0.00005950977,0.00000220117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990375,0.0004962467,0.0001531052,0.00003859622,0.000005497488,0.000003984686,0.0001441595,0.000002738706,0.0001182663],"genre_scores_gemma":[0.9995643,0.0001120462,0.0001470575,0.00001429225,0.000009640233,0.000004584928,0.00009217511,0.000001099138,0.00005468532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001491239,"threshold_uncertainty_score":0.004475355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806578067603774,"score_gpt":0.3489409657302646,"score_spread":0.3308751850542268,"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."}}