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
Background: Despite fine needle aspiration cytology (FNAC) has a well recognized role in investigation neck masses, insufficient cellular yield in FNA remain an issue. The aim of this study is to evaluate the effectiveness of FNAC as a primary investigation tool in neck masses. Methods: This is a retrospective study of 47 cases with FNAC performed from February 2008 till June 2009 at Otorhinolaryngology Department, Ampang Hospital. The result were compared with results of 44 patients with neck masses and subjected for excision/incision biopsy as first line investigation of tissue diagnosis during the same period of time. Results: A total of 37 out of 47 patients with FNAC have a conclusive result (78.7% diagnostic yield). Inflammatory lesions (46%) are the common pathology followed by benign lesions (41%) and malignant lesions (13%). Excision/incision biopsy have 100% tissue diagnostic yield with 48% were haematological malignancies followed by reactive lymphadenopathy (27%), tuberculosis lymphadenopathy (16%) and metastatic carcinoma (9%). Conclusion: Despite lower tissue diagnostic yield compared to excision/incision biopsy, FNAC remains a safe and appropriate first line investigation of neck masses. doi: http://dx.doi.org/10.4021/jcs178e
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 it