Bibliographic record
Abstract
I need to bring to your attention some changes that have taken place in our beloved journal “Lung India.” Because of a steep rise in the number of articles submitted to “Lung India,” it was decided to publish 6 issues per year instead of the earlier trend of 4 issues per year. You must have appreciated the fact that even after the inclusion of more issues, the volume of material in the January and March issues was not less than that of any of the issues of the previous years. “Lung India” has risen to great stature and it is really a very daunting task to keep it growing more and more. “Lung India” has surpassed many other journals in the field of pulmonary medicine and stands tall among the top national journals. You are requested to join hands with us and submit your best-quality scientific work to “Lung India.” We promise you worldwide recognition through publication, as “Lung India” is indexed by many standard agencies and linked to the international publishing company Wolters Kluwer. Those interested in contributing more toward the improvement of the journal are requested to join the esteemed reviewer panel of “Lung India.” People with outstanding scholastic backgrounds from all specialties of medicine may join the reviewer panel. Section editors and editorial board members should review a minimum of three to four papers a year. They should be ready to contribute a commentary or review at the request of the journal as and when necessary. We are planning to revamp the current reviewer panel, section editors, and the editorial board based on the level of individual contribution to the journal. To prevent plagiarism, we are now using iThenticate software, especially during the editorial checking phase before acceptance. The software uses advanced pay-per-search technology. During the journey of life, time reminds us time and again that we are earthly creatures and nothing is perpetual. How can one believe that Dr. Dheeraj Gupta, Professor of Pulmonary Medicine, PGIMER, Chandigarh is no longer with us? He was a brilliant person with a great, humanistic approach. He was the backbone of the Indian Chest Society (ICS), and contributed immensely to the progress of “Lung India.” His contribution to the field of pulmonary medicine will be remembered for a very long time. May his soul rest in peace, and I pray that God may give solace to his grieving family and friends.
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 | 0.005 | 0.074 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.157 | 0.155 |
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".