Coordinated Science in the Gravitational and Electromagnetic Skies
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
Allan Adams (MIT), Scott F. Anderson (Univ. of Washington), Andy Becker (U. Washington), Geoffrey C. Bower (UC Berkeley), Niel Brandt (Penn State), Bethany Cobb (UC Berkeley), Kem Cook (Lawrence Livermore National Laboratory/IGPP), Alessandra Corsi (INAF-Roma), Stefano Covino (INAF-Osservatorio Astronomico di Brera), Derek Fox (Penn State University), Andrew Fruchter (STSCI), Chris Fryer (Los Alamos National Laboratory), Jonathan Grindlay (Harvard/CfA), Dieter Hartmann (Clemson), Zoltan Haiman (Columbia), Bence Kocsis (IAS), Lynne Jones (U. Washington), Abraham Loeb (Harvard), Szabolcs Marka (Columbia University), Brian Metzger (UC Berkeley), Ehud Nakar (Tel Aviv University), Samaya Nissanke (CITA, Toronto), Daniel A. Perley (UC Berkeley), Tsvi Piran (The Hebrew University), Dovi Poznanski (UC Berkeley), Tom Prince (Caltech), Jeremy Schnittman (JHU), Alicia Soderberg (Harvard/CfA), Michael Strauss (Princeton), Peter S. Shawhan (University of Maryland), David H. Shoemaker (LIGO-MIT), Jonathan Sievers (CITA, Toronto), Christopher Stubbs (Harvard/CfA), Gianpiero Tagliaferri (INAF-Osservatorio Astronomico di Brera), Pietro Ubertini (INAF-Roma), and Przemyslaw Wozniak (Los Alamos National Laboratory)
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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