Bibliographic record
Abstract
With the turn of the century, the role of the surgeon in the treatment of diseases such as Hashimoto's and thyroid lymphoma has diminished. That is not to say that the surgeon must not have a thorough understanding of these diseases and the role he or she plays in their diagnosis and treatment. Hashimoto's disease is a common disease. Not infrequently the endocrine surgeon is faced with a thyroid nodule in a background of Hashimoto's disease. Interpretation of fine-needle aspiration (FNA) of a nodule in a patient with the background of Hashimoto's disease may be misleading if the surgeon fails to understand the limitations of FNA. The role of the surgeon in the treatment and diagnosis of thyroid lymphomas has evolved from surgical debulking to open biopsy. With the use of irradiation and chemotherapy, the need for surgical debulking has nearly disappeared. The recent development of ancillary techniques such as light chain restriction, flow cytometry, gene rearrangement, and immunohistochemical staining have enabled cytopathologists to diagnose thyroid lymphoma by FNA, further diminishing the surgeon's role in the diagnosis and treatment of this disease.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".