Pancreatic Adenocarcinoma Surveillance Counterpoint: Canada
Bibliographic record
Abstract
Ductal adenocarcinoma accounts for over 90 % of pancreatic malignancies. Other less common pancreatic tumors include neuroendocrine cancers, acinar cell carcinoma, pancreatoblastoma, squamous cell carcinoma, and occasional benign conditions. Rarely, the pancreas can be the site of metastases from other solid tumor malignancies (e.g., colon, breast, renal cancer) [1]. Pancreatic adenocarcinoma has a mortality rate virtually identical to that of its incidence with conventional cancer treatments having little impact on long-term survival. In Canada, about 3,800 new cases and about 3,700 deaths from pancreatic cancer occur annually. It is the fourth leading cause of cancer-related death in both males and females (4.6 % and 5.6 % of cancer-related deaths, respectively) [2].
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.064 | 0.009 |
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".