Bibliographic record
Abstract
The Sri Lanka Journal of Forensic Medicine, Science & Law (SLJFMSL) is a peer-reviewed, open-access journal published biannually in May and December each year by the Department of Forensic Medicine, Faculty of Medicine, University of Peradeniya, Sri Lanka.The mission of the SLJFMSL is to stimulate, encourage and empower researchers to publish high quality research in order to promote evidence based practice and provide a platform for researchers to share experiences and knowledge in the fields of forensic medicine, forensic sciences, medical ethics and relevant law. This journal publishes original research papers, reviews, points of view, case reports, technical notes and letters to the editor. The SLJFMSL is committed to maintaining and conforming to the editorial and ethical standards recommended by the International Committee of Medical Journal Editors.SLJFMSL was assessed by the Journal Publishing Practices and Standards framework and was placed at level four (of six) and is currently listed in SLJOL, DOAJ, IMSER, NLM Catalogue.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".