Bibliographic record
Abstract
The following 12 light curves were obtained in the first 6 months of 2006. Analysis of the light curves were done and both synodic period and amplitude were derived. 762 Pulcova, 5.8400h+0.0001h, 0.20+0.02mag; 7360 Moberg, 4.6996+0.0006h, 0.38+0.01mag; 171 Ophelia, 6.6666+0.0002h, 0.50+0.02 mag; 710 Gertrud 8.291+0.002h, 0.30+0.02mag; 2104 Toronto 8.9669+0.0002h, 0.35+0.02mag; 1495 Helsinki, 5.3315+ 0.0005, 1.4+0.2mag; 1241 Dysona, 8.6085+0.0005h, 0.26+0.02mag; (85804) 1998 WQ5, 3.0089+0.0001h, 0.15+0.05mag, (35369) 1997 UJ11, 2.40+0.04h, 0.15+0.05mag ; 293 Brasilia, 8.173h+0.0002h, 0.30+ 0.05mag; 291 Alice, 4.313h+0.002h, 0.20+0.03mag; 683 Lanzia, 8.631h+0.001h, 0.20+0.02mag.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".