Bibliographic record
Abstract
Objective:Analyzed a case of woman with virilizan ovary tumor, where clinics manifestations made easy diagnosis of a anexial tumor producing masculine hormones with neoplastic thorax effusion and ascites. Specific tumoral serum marks for diagnosis, and posoperatory evolution. We made a medical prospective literature review. Methods:We studied a female case 35 years old, with an androgenic malignity ovary tumor, Analysis was worked ina Regional General Hospital of a State of Mexico, Mexico last year. Prospective studying a tumor of the ovary, produces masculine hormones. Discussion:Rare tumor, represents, almost 0.5% all ovarian tumors. Its secrets masculine hormones; with broaden voice, acne, facial and corporal hair increased, large clitoris, androgenic calvicie patter. Those tumors grow in all ages women groups, but usually in young women, almost is unilateral (95%). We show a clinical case of woman, 35 years old with androgenic dates, She carried out surgery for ovarian tumor. Histopathology report confirmed a malign ovary cordons sexual cells, with high malign grade compound, approximated 30 cm mayor diameter with integral capsule. Stage IC. Were used 6 cycles intravenous systemic chemotherapy. At present, her tumoral marks are negative and gradually have been disappeared androgenic clinical manifestations. Conclusions:Rare malign ovary tumor, produces androgenic clinical manifestation. Grove up tumor marks like serum testosterone; cytorreductive surgery is cornerstone treatment. Prognosis disease is up to grade of cell differentiation and stage in surgical-pathological events. Five years survive in stage I, is approximate in 70 to 90% of cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".