バイオインフォマティクスと特許性の問題 = Bioinformatics materials and issue of patentability
Bibliographic record
Abstract
Japanese Abstract: バイ オインフォマティクスは、バイオテクノロジー分野に多くの重要な変化をもたらした。そ れは、重要な発明の領域であり、人間の健康や生命等に直接影響を与えるものである。本研究では、バイオインフォマティ クス材料、すなわち、生物学的配列、配列データベース、ソフトウェアの特許性の側面を 批判的に検討する。日本、米国、欧州（EU）、カナダ、オーストラリアの関連する特許法や 運用について調査し、バイオインフォマティクスの発明がこれらの法域において特許によ り保護されているかどうか、法域間でのバイオインフォマティクス材料の特許性の側面の 類似点や相違点、オープンソース政策との相互関係、及びそれらの制度調和の問題につい て分析する。English Abstract: Bioinformatics has brought various significant advancements in biotechnology field. It is an important area of invention which directly effects human health and other areas of human life. This research critically examines the patentable aspects of bioinformatics materials, i. e., biological sequences, sequences database, and software. It surveys related patent laws and practices of Japan, the US, Europe, Canada and Australia, and it analyzes whether bioinformatics innovations are protected by patent in these jurisdictions; similarity and contradictions of patentability aspects of bioinformatics materials between different jurisdictions; its interrelationship with the open source policy; and the issues of harmonization of this subject matter.
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.
How this classification was reachedexpand
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 | 0.040 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".