USCAP 2018 Abstracts: Gynecologic and Obstetric Pathology (1127–1316)
Bibliographic record
Abstract
Background: While uterine serous carcinomas (USCs) are morphologically and immunophenotypically indistinguishable from their ovarian counterparts, questions remain on whether these tumors share similar molecular profile and therefore could benefit from similar therapies. Somatic and germline defects in genes of the homologous recombinant(HR) pathway(BRCA1, BRCA2 and others) have been implicated in ovarian cancer predisposition and are associated with high sensitivity to platinum-based and targeted therapies(PARP inhibitors). HR deficiency impairs normal DNA repair resulting in loss or duplication of chromosomal regions, termed genomic loss of heterozygosity(LOH). Whether this phenomenon applies to USCs is yet to be determined. In this study, we analyzed genome-wide LOH in USCs and correlated its extent with clinicopathological parameters and survival outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".