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
Some systems are capable to provide information only at irregular time intervals, or to preserve only the most representative samples of a signal, in a way to reduce the amount of recorded information. Consequently, signals stemming from these systems, are irregularly sampled and need to be processed under this form. The aim of our paper is to propose a N-order low-pass and band-pass filtering tool applied to such irregularly sampled signals. The originality of the procedure resides in the absence of total reconstruction of the original signal by any interpolation method. The signal, whose information are only known at some instants, is directly processed. From an analogical transfer function representing the processing to undertake (filtering), the corresponding state space system is first determined, then solved and discretised with nonuniform time intervals. Thus, general and Butterworth lowpass and band-pass filters are developed. The irregularly sampled filter is compared to the normal filter having fixed sample intervals.
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 | 0.000 |
| 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) | 0.010 | 0.001 |
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