{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395579,0.0002277691,0.0003716432,0.0000359738,0.00006414938,0.00002229426,0.0002109653,0.0005500091,0.0001094786],"category_scores_gemma":[0.007670974,0.0001721871,0.0001577048,0.00008829695,0.0002700694,0.00002790758,0.0001569703,0.0006745445,0.00002765344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006501051,"about_ca_system_score_gemma":0.00008776224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008146489,"about_ca_topic_score_gemma":0.00003654301,"domain_scores_codex":[0.9980347,0.0003592229,0.0005206489,0.0006270953,0.0001546901,0.0003035989],"domain_scores_gemma":[0.9984097,0.0006341959,0.0001581327,0.0004441656,0.00006572031,0.0002881184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008198175,0.0007626804,0.06838597,0.000003197172,0.0001141003,0.00002878637,0.000007043857,6.083341e-8,0.9016559,0.00005276133,0.0006347646,0.02753489],"study_design_scores_gemma":[0.0020166,0.001272542,0.4194632,0.000007743875,0.0001611158,0.00006371171,0.00001994046,0.00001702906,0.2452875,0.0001196841,0.331072,0.000498887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923372,0.00005920565,0.0001475,0.005625464,0.0004694315,0.0002195844,0.00009013589,0.0000192581,0.001032239],"genre_scores_gemma":[0.9818515,0.0009202183,0.006614498,0.009871561,0.000401981,0.00001995476,0.00005018975,0.00001932818,0.0002507321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6563684,"threshold_uncertainty_score":0.9183426,"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."}}