Current Status of Neurointervention, the Official Journal of the Korean Society of Interventional Neuroradiology
Bibliographic record
Abstract
Since Neurointervention, the official journal of the Korean Society of Interventional Neuroradiology (KSIN), started publication in 2006, there have been several important steps of improvement: conversion from Korean to English in 2011, listing in PubMed Central and PubMed in November 2011, increase to 3 issues per year since 2020, being added in the Directory of Open Access Journal in April 2020, and listing in Scopus this year.Such progress was based on the efforts of all members, including editorial board members, executive board members of KSIN, and active reviewers all over the world.The journal, Neurointervention, has now become an international journal because of the active participation of authors abroad, which reached 76% of submitted articles in 2021.There seem to be only 3 journals that specify the topic confined to neurointervention: Interventional Neuroradiology (the official journal of the World Federation of Interventional Neuroradiology), Journal of Neurointerventional Surgery (the official journal of the Society of Neurointerventional Surgery), and Neurointervention (the official journal of KSIN).There may be other journals in other languages.
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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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.020 |
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".