The New Technology Transfer Block Exemption: Will the New Block Exemption Balance the Goals of Innovation and Competition?
Bibliographic record
Abstract
Licensors and licensees have long enjoyed the benefit of block exemption regulations for technology licensing. Block exemption regulations were adopted in the mid-80s for patent licensing and know-how licenses. These were combined and replaced in 1996 by a unified Technology Transfer Block Exemption Regulation (TTBE). This block exemption is currently under review.\nDG Competition is writing a draft for a new T'BE. It is expected to be ready for review by the member states in September, and to be published for comments in October. The Commission hopes to have the new block exemption adopted and published in the first quarter of 2004, just before the accession of the new member states and the entry into force of the Regulation 1/2003 on the Implementation of Article 81 and 82 EC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.015 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".