Bibliographic record
Abstract
1>r.lii^ fy&> (7) LBL~91-Rev{2) DE83 011259 LBL-91 Revised UC-34C March 1983 CURRENT EXPERIMENTS IN ELEMENTARY-PARTICLE PHYSICS C.G. WoU, F.E. Anastroag, A. Rittenberg, T.G. Trippe, G.P. Yost Particle Data Group. Lawrence Berkeley Laboratory. Berkeley. CA 94720 USA L A**s Stanford Linear Accelerator Center. Stanford. CA 94305 USA P. Joos DESY. Notkestrasse 85. D-2000 Hamburg-52. Germany Y. Oyanagi University of Tsukuba, Sakura-mura, Niihari-gun, Ibaraki-ken 305, Japan D . C Dodder Los Alamos National Laboratory, Los Alamos, NM 87545. USA S.N. Gndtsia, YM.G. Ryabov Institute for High Energy Physics. Serpukhov, Protvino, Moscow Region, USSR R. Frosch SIN, Swiss Institute for Nuclear Research, CH-5234 Villigen. Switzerland A.OIiii TRIUMF, 4004 Wesbrook Mall. Vancouver BC V6T 2A3. Canada LAWRENCE BERKELEY LABORATORY University of California Prepared for the US. Department of Energy under contract DE-AC03-76SF00098 MAS1ER BISiRIBUTICa CF THIS CSCiffiBT IS U*i(.IMlTE0
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.236 | 0.131 |
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".