The Progress of Science and the Useful Arts: Misadventures in Canadian Law on Patent-Eligible Subject Matter
Bibliographic record
Abstract
Patent-Eligible Subject-Matter in Canada\nThe law of patent-eligible subject-matter in Canada has become badly muddled. There has been repeated confusion of subject-matter issues with non-subject matter issues such as novelty, obviousness, and utility. There has also been repeated confusion within the following group of issues pertaining to whether subject-matter is patent-eligible: whether a claim is for a mere idea or aggregation or for a patentable invention; whether claimed subject-matter falls within science and the useful arts; and whether claimed subject-matter falls within the statutory classes listed in the definition of “invention”. Echoes of older UK-based cases, relating to statutory provisions found in England, but not in Canada, continue to entangle subject-matter inquiries under the Canadian Patent Act. The structure of the Patent Act is based on logical, sound principles that have not changed in two centuries. The statute itself establishes an order of steps that, if followed, would resolve many controversial issues. That order starts with the requirement for subject-matter in ss 27(4) and 27(3), followed by consideration of the definition of “invention” in s 2. The Patent Act itself requires subject-matter first qualify as an art or science, where art means “useful art”, a point apparently not presented or discussed in recent case law. The significance of the recent Amazon.com case is not its effect on the particular applicant, but its treatment of, and apparent divergence from, sound principles of patent law. It had been hoped that Amazon.com might be an opportunity to set the law back on a straight course. In the end, the Federal Court of Appeal did not answer the question asked of it, and appears not to have reduced the confusion of previous case law. Closer adherence to the provisions of the Act, to the history and purpose of the Act, and to long-standing, sound, fundamental patent principles, might go a great distance toward untangling the law of patent-eligible subject-matter in Canada.
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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 | 0.016 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.030 | 0.025 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".