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Record W4384153954 · doi:10.17816/jowd340822

The history of the Journal of Obstetrics and Women’s Diseases (to the 135th anniversary of the first issue and the 25th anniversary of the revived edition)

2023· article· en· W4384153954 on OpenAlexaff
Eduard K. Aylamazyan, Е. Ф. Кира, Igor G. Rodin

Bibliographic record

VenueJournal of obstetrics and women s diseases · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsVector Institute
Fundersnot available
KeywordsMedicineObstetrics and gynaecologyObstetricsState (computer science)Library sciencePregnancy

Abstract

fetched live from OpenAlex

This article is dedicated to the 25th anniversary of modern history and the 135th anniversary of the first domestic publication of the Journal of Obstetrics and Womens Diseases. The article traces the history of the Journal, its development and state of the art, while reflecting amazing facts, sometimes filled with drama. The Journal of Obstetrics and Womens Diseases has become a prominent publication, thanks to which practitioners, even in the remotest corners of Russia, can be aware of advanced medical technologies and important scientific events, and acquainted with the latest achievements in the field of obstetrics and gynecology, as is evidenced by leading articles published in the Journal.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0110.004
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0380.015

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 head0.017
GPT teacher head0.200
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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