{"id":"W2060849023","doi":"10.1097/00007691-200310000-00004","title":"Determination of Sirolimus Blood Concentration Using High-Performance Liquid Chromatography with Ultraviolet Detection","year":2003,"lang":"en","type":"article","venue":"Therapeutic Drug Monitoring","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Chromatography; High-performance liquid chromatography; Detection limit; Chemistry; Whole blood; Analytical Chemistry (journal); Analyte; Sirolimus; Quantitative analysis (chemistry); Medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008446341,0.0001370655,0.0001906538,0.00008374525,0.00008365953,0.00001016376,0.00002948287,0.0000428366,0.00000560556],"category_scores_gemma":[0.000002106797,0.0001080871,0.00004413804,0.0002175517,0.00004698032,0.0001395227,0.000001390859,0.00007546998,0.000001199945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003738599,"about_ca_system_score_gemma":0.00003362916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003610615,"about_ca_topic_score_gemma":8.415694e-7,"domain_scores_codex":[0.9991964,0.0000407013,0.0002193789,0.0001488363,0.0002330023,0.0001616788],"domain_scores_gemma":[0.9995742,0.00003301486,0.0001277559,0.0001331877,0.00008196675,0.00004984766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00060232,0.0002580784,0.3372281,0.0003588886,0.0002716777,0.00001703014,0.0008256535,0.0003072207,0.650701,0.00004667919,6.889863e-9,0.009383372],"study_design_scores_gemma":[0.002381664,0.0005387164,0.1069777,0.000460554,0.0004579034,0.0001091282,0.0001190998,0.0002887963,0.8885573,0.000009297876,0.000002890989,0.00009699143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956789,0.0002131096,0.003460187,0.000004968154,0.0001884111,0.0002650891,0.000001830665,0.00004043997,0.0001470896],"genre_scores_gemma":[0.9971208,0.0002312799,0.002530256,0.00001064788,0.00005201249,0.00001257505,0.000005415949,0.00002074806,0.00001626758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378563,"threshold_uncertainty_score":0.4407665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789142027134016,"score_gpt":0.2693195463789764,"score_spread":0.2514281261076362,"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."}}