Tables, Figures and Sidebars
Bibliographic record
Abstract
Definitions of the sectors 30 List of biotechnologies 3I Core biotechnology firms in Canada by province, 200I 33 Core biotechnology firms in Canada by area of research, 200I 33 Largest Canadian biotechnology companies by market capitalization, as of January 2003 34 Canadian core SBFS by size, as of August 2002, 35 Canadian core SBFS by province, as of August 2002 35 Canadian core SBFS' expenditure in biotechnology R&D by province, I997-2001 (c$) 36 Canadian core SBFS by province, I997-2001 37 Canadian core SBFS' revenues in biotechnology by province, I997 and 200I (c$) 37 Canadian private investments in core biotechnology firms by province, 200I (c$) 38 Canadian private investments in core biotechnology firms by city, 200I (c$) 38 Canadian venture capital in biotechnology by metropolitan area, 200I 39 Year of foundation of patenting firms existing in 2002 40
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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.026 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.628 | 0.505 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".