Postural discomfort among right and left-handed University students of Rawalpindi and Islamabad.
Bibliographic record
Abstract
Retraction Notice: This article originally appeared in 1st issue of 2nd volume of the Journal of Shifa Tameer-e-Millat University (JSTMU), and has been marked as [RETRACTED]. The Editorial Board of JSTMU have re-examined the ancillary data/documents/attachments of the paper post-publication (on website) on receiving an “expression of concern” pertaining to conflict of interest among the authors. JSTMU follows (i) guidelines issued by the Committee on Publication Ethics (COPE), and (ii) editorial policies of the JSTMU, and takes the responsibility to enforce strict ethical policies and standards very seriously. To ensure the addition of high-quality scientific work and submission of genuine ancillary data/documents/attachments to the field of scholarly publications, the article titled “Postural discomfort among right and left-handed University students of Rawalpindi and Islamabad” bearing DOI No. https://doi.org/10.32593/jstmu/Vol2.Iss1.40 is retracted and shall be marked accordingly on all pre and post publication mediums of the journal. We apologize to the readership of JSTMU for any inconvenience caused.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".