A Rare Presentation of Large Cell Neuroendocrine Carcinoma of the Lung
Bibliographic record
Abstract
Large cell neuroendocrine carcinoma of the lung is a rare form of pulmonary tumor, representing 2-3% of all non-small cell carcinomas. The large majority of patients who are diagnosed with this disease have a smoking history. We present a non-smoking patient with no prior medical history who presented with recurrent stomach pain and scalp lesions who was ultimately diagnosed with large cell neuroendocrine carcinoma of the lung. Due to its rarity, there is little consensus on effective treatment and despite progressive therapy with currently recommended regimens, the patient ultimately passed from complications of the disease. The fact that the patient developed a form of lung cancer so highly associated with smoking history coupled with the uncommon presentation in such advanced disease is exceedingly rare. J Med Cases. 2018;9(6):160-163 doi: https://doi.org/10.14740/jmc3047w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".