Key Takeaways from “The Intersection of University Inventions and Recent Cases at the Patent Trial And Appeal Board (PTAB)”
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
This article provides a brief summary of the discussion, presentation, and knowledge shared during the Eight Annual Meeting of the National Academy of Inventors held in Houston, Texas, in April 2019. The panel, “The Intersection of University Inventions and Recent Cases at the Patent Trial and Appeal Board (PTAB),” focused on university inventions and the PTAB, with perspectives from a university technology transfer office, a PTAB administrative patent judge, and attorneys practicing before the United States Patent and Trademark Office (USPTO) and in Federal District Court. The panel was led by Andrew Maas of Louisiana State University and included Kalyan Deshpande of the USPTO; Kyle Friesen of Shook, Hardy & Bacon; and Jay Yates of Patterson + Sheridan. The panel busted myths and provided helpful information and perspective on the PTAB.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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