Third-party submissions for patent applications pending before the USPTO
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
James Wagner is a barrister, solicitor and Canadian trade mark agent, and runs ‘The IP Shop’ in Vancouver, Canada. Betty Wu is a recent graduate of Nottingham's LL.B. Senior Status (with Honours) program currently completing her Canadian legal accreditation (NCA) examinations. Following implementation of changes to 37 CFR 1.290 under the American Invents Act which went into effect on 16 September 2012, any party can now submit prior art on recently published US patent applications. Notably, the submission process is online, pseudo-anonymous, and free. This development provides a significant incentive for businesses selling goods or services into the US market to monitor their competitor's patent filings. Guidance is given for the identification of applications for which a third party submission may be warranted, and an approach which may be used for preparing and filing the submission.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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