Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Oruba Z, Kaczmarzyk T, Urbańczyk K, et al. QuizWhat is your diagnosis?. Polish Journal of Pathology. 2018;69(1):107-107. doi:10.5114/pjp.2018.75637. APA Oruba, Z., Kaczmarzyk, T., Urbańczyk, K., Jurczyszyn, A., Fornagiel, S., & Gałązka, K. et al. (2018). QuizWhat is your diagnosis?. Polish Journal of Pathology, 69(1), 107-107. https://doi.org/10.5114/pjp.2018.75637 Chicago Oruba, Zuzanna, Tomasz Kaczmarzyk, Katarzyna Urbańczyk, Artur Jurczyszyn, Szymon Fornagiel, Krystyna Gałązka, and Anna Bednarczyk et al. 2018. "QuizWhat is your diagnosis?". Polish Journal of Pathology 69 (1): 107-107. doi:10.5114/pjp.2018.75637. Harvard Oruba, Z., Kaczmarzyk, T., Urbańczyk, K., Jurczyszyn, A., Fornagiel, S., Gałązka, K., Bednarczyk, A., and Chomyszyn-Gajewska, M. (2018). QuizWhat is your diagnosis?. Polish Journal of Pathology, 69(1), pp.107-107. https://doi.org/10.5114/pjp.2018.75637 MLA Oruba, Zuzanna et al. "QuizWhat is your diagnosis?." Polish Journal of Pathology, vol. 69, no. 1, 2018, pp. 107-107. doi:10.5114/pjp.2018.75637. Vancouver Oruba Z, Kaczmarzyk T, Urbańczyk K, Jurczyszyn A, Fornagiel S, Gałązka K et al. QuizWhat is your diagnosis?. Polish Journal of Pathology. 2018;69(1):107-107. doi:10.5114/pjp.2018.75637.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it