Bibliographic record
Abstract
Methods of medical treatment are not patentable in Canada. This means that inventions involving the performance of surgery, administration of medicine, or extraction of fluids or tissue for diagnostic tests cannot directly be protected under the current patent regime. However, this prohibition is not an absolute ban. Many medical innovations are patentable, including surgical tools and devices, drugs and other chemical compounds, medical “uses”, diagnostic assays and methods of treat- ing “natural” conditions. The practical reality is that the distinction between what is and what is not patentable is poorly defined. This uncertainty presents a steep challenge for inventors and patent agents in preparing patent claims that appropriately encapsulate a particular medical invention without claiming prohibited subject matter. This confusion also hinders the public and would-be inventors wishing to navigate the patent landscape.\nPart I of this paper entitled “Legal Basis for the Prohibition” summarizes the statutory and jurisprudential basis for prohibiting medical method patents. Part II entitled “Patentability of Medical Methods in Practice” discusses how this prohibition has been applied by courts and the Commissioner of Patents. Inconsistencies in its application are highlighted and practical guidance is provided on how to protect aspects of medical inventions without triggering the prohibition. Part III entitled “Criticism of the Status Quo” argues that the rationale for prohibiting medical method patents is tenuous, based more on public policy than the Patent Act. Based on the irregular application of the prohibition revealed in Part II and the criticisms raised in Part III, legislative reform is recommended.
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 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 | 0.049 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.072 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.040 | 0.042 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".