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
Researchers are using nanoparticles of clay to raise polymers to new capabilities. The ongoing interest in nanocomposite polymers is evidenced by two upcoming conferences on the topic scheduled later this year—one sponsored by Principia Partners in Baltimore in June and another hosted by the Canadian National Research Council’s Industrial Materials Institute in Montreal in September. The automotive area represents a lot of potential, particularly for exterior body panels and fascia, and such interior components as instrument panels. One indication of the interest level is the attention being focused on thermoplastic olefins, which is one of the fastest growing plastic groups used in exterior and interior automotive applications. Dow Chemical Co. of Midland, Michigan, and Decoma International of America in Troy, Michigan, are jointly investigating nanocomposites as part of a NIST Advanced Technology Program. The present focus of the project is understanding the fundamentals of processing, developing, and compounding nanocomposites. Dow is also looking at synthetic nanofillers, which may offer advantages in consistency over natural clay feedstocks.
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 | 0.000 | 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