<b>MATCH</b>- A Software Package for Robust Profile Matching Using<i>S-PLUS</i>
Why this work is in the frame
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Bibliographic record
Abstract
This manual details the implementation of the profile matching techniques introduced in Robust Estimation of Air-Borne Particulate Matter (Wiens, Florence and Hiltz, Environmetrics, 2001 - included as an appendix). The program consists of a collection of functions written in S. It runs in S-Plus, including the student version. A graphical user interface is supplied for easy implementation by a user with only a passing familiarity with S-Plus. A description of the software is given, together with an extensive example of an analysis of a data set using the software. The software is available at http://www.stat.ualberta.ca/~wiens/publist.htm where it is linked to the listing for Wiens, Florence and Hiltz (2001).
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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) | 0.000 | 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