Papers Celebrating the 25th Anniversary of Biometric Society of Japan Contribution to Human Society: Experience of a Quarter of a Century and the Future Prospects Major Activities of Biometric Society of Japan and Japanese Biostatisticians —Past, Present and Future—
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
At the end of 2005 Biometric Society of Japan (BSJ) cerebrated a quarter of a century of its establishment, a 25-year period over which the number of BSJ members has increased to about 450 from 220 and it has engaged a wide range of research and education. In this report, I reviewed the major activities of BSJ and the achievements that BSJ members have made by investigating the temporal trend of published papers in such journals as Japanese Journal of Biometrics, Biometrics and Statistics in Medicine. I further investigated the Japanese achievements published in the Encyclopedia of Statistical Sciences and the Cambridge Dictionary of Statistics. Based on these investigations, I discussed the key conditions that, I think, could improve the present situation and infuence the future activities and status of Japanese Biostatisticians.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.016 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it