1695: Reversal of C4D+ Acute Humoral Rejection Using Combination Plasmapheresis and Intravenous Immune Globulin (IVIG) in Renal Transplant Patients
Bibliographic record
Abstract
You have accessJournal of UrologyModerated Poster, Wednesday, May 24, 2006, 3:30 - 5:30 pm1 Apr 20061695: Reversal of C4D+ Acute Humoral Rejection Using Combination Plasmapheresis and Intravenous Immune Globulin (IVIG) in Renal Transplant Patients Christopher Nguan, Laura Gregor, Anthony M. Jevnikar, Patrick Luke, and Andrew A. House Christopher NguanChristopher Nguan More articles by this author , Laura GregorLaura Gregor More articles by this author , Anthony M. JevnikarAnthony M. Jevnikar More articles by this author , Patrick LukePatrick Luke More articles by this author , and Andrew A. HouseAndrew A. House More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(18)33874-6AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "1695: Reversal of C4D+ Acute Humoral Rejection Using Combination Plasmapheresis and Intravenous Immune Globulin (IVIG) in Renal Transplant Patients." The Journal of Urology, 175(4S), pp. 545–546 © 2016 by American Urological AssociationFiguresReferencesRelatedDetails Volume 175Issue 4SApril 2006Page: 545-546 Advertisement Copyright & Permissions© 2016 by American Urological AssociationMetricsAuthor Information Christopher Nguan More articles by this author Laura Gregor More articles by this author Anthony M. Jevnikar More articles by this author Patrick Luke More articles by this author Andrew A. House More articles by this author Expand All Advertisement Loading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".