Response to Comment on “Spontaneous Autoimmunity Sufficiently Potent to Induce Diabetes Mellitus Is Insufficient to Protect against Insulinoma”
Bibliographic record
Abstract
and ketosis-prone type 1 diabetes since the age of 13, developed a highly malignant, metastatic, and intractable insulinoma at age 33, i.e., some 20 years after her type 1 diabetes was diagnosed.While not directly addressed (although tumor tissue is still available), there may have been a small subset of  cells, surviving for unknown reasons in the face of long-standing type 1 diabetes, that might have altered their Ag presentation to thereby escape destruction and then undergo neoplastic transformation into insulinoma cells.Unraveling the mechanisms underlying this phenomenon may offer unique insights into therapeutical possibilities by which endogenous or transplanted  cell survival can be improved by genetic immune manipulation in type 1 diabetes.We also have another relevant case (yet unpublished), a 60year old nondiabetic woman with benign insulinoma and grossly elevated plasma levels of C peptide, proinsulin, and insulin who also shows persistent high titers of autoantibodies against GAD-65, the prime  cell Ag in human type 1 diabetes.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.047 | 0.047 |
| Insufficient payload (model declined to judge) | 0.011 | 0.012 |
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".