PATENT PROTECTION OF INTEGRATIVE TECHNICAL SYSTEM – containing subsystems interconnected by elements of artificial intelligence and artificial neural networks. The use of analytical and algorithmic tools in the preparation of applications for the issuance of patent documents in the United States
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
The integration of software solutions and mobile applications into innovative technical systems of all levels in the current process of transforming classical technologies into smart technologies and transforming the entire hierarchy of technical systems and their interconnections into smart technical systems is the basis for the formation of such innovative products that are most in demand on the markets. As the practice of such innovative development shows, the use of methods and techniques of the inventive process adapted to today's elemental base and modern composite materials from generating an idea to the complete formation of materials for an application for an invention can be successfully carried out with the well-known Theory and Algorithm for solving inventive problems. Of particular importance in the innovation process are relations with investors and potential strategic partners in the commercial application of the created innovative product.
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 | 0.001 |
| 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