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Record W2407723670

[The elder of national medical publications (on the 180th anniversary of the Journal of Military Medicine (Voenno-Meditsinskiĭ Zhurnal))].

2002· article· en· W2407723670 on OpenAlexaboutno aff
Galin Ll, Poddubnyĭ Mv, Liashenko Ni, Velichko Ma

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsEmperorNavyChristian ministryFoundation (evidence)MedicineQuarter (Canadian coin)Library sciencePolitical scienceHistoryLawAncient history
DOInot available

Abstract

fetched live from OpenAlex

The article is devoted to the history of creation of the medical periodical press in our country at the end of XVIII--first quarter of the XIX century. Contribution made by the director of Medical Department of Military Ministry Ya.V. Villie (1768-1854) into foundation of "Military Medical Journal", the 1st issue of which appeared in January 1823, is described. In July 1822 Ya.V. Villie presented the report to the Emperor Alexander the First where he explained the necessity of the journal for military doctors and pharmacists. The proposal of journal publication was confirmed by the Emperor in July 24 (August 5) 1823. This date is considered to be the day of "Military Medical Journal" foundation. In December 2002 the publication of articles of the volume 323 will be completed and in January 2003 the pages of volume 324 will be printed. During 180 years "Military Medical Journal" introduced the new scientific ideas into the life. It always remains the reliable assistant and adviser for army and navy medical workers in their professional activities.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0460.034

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.

Opus teacher head0.070
GPT teacher head0.258
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

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