Bibliographic record
Abstract
The response files used in the NITRATES search. resp_tabs.tar.gz - contains the photoelectric and Compton response files that were generated using detectors only in the mass model. The direct response. resp_tabs_ebins.tar.gz - same as resp_tabs.tar.gz except it uses only the 9 analysis energy bins comp_flor_resps.tar.gz - contains the Compton and fluorescence response files that were generated using the whole mass model. The indirect response. hp_flor_resps.tar.gz - contains the fluorescence only response files that were generated using the whole mass model. The indirect response. solid_angle_dpi.npy - file with the solid angle each detector is exposed to through the holes in the mask. Used for the diffuse model. rate_resps.tar.gz - contains a grid of spectral models folded through the response for the split rates analysis for a spectral norm of 1. This is for a grid of points in imx and imy. rate_resps_outFoV.tar.gz - the same as rate_resps.tar.gz except for the out of FoV grid points.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.196 |
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".