Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Eli Lilly & Co. is the latest global pharmaceutical maker to back early-stage life sciences firms in Canada. Last week, the drug company, Teralys Capital, and other partners invested in a $150 million venture fund managed by TVM Capital in Montreal. The fund intends to support small firms focused on single therapeutic projects. To provide further assistance, Lilly will also establish a Canadian division of Chorus, the early-phase drug development network it started in 2002. Drawing on Lilly and outside service providers, Chorus will help small Quebec-based companies advance drug candidates to the clinical proof-of-concept stage. A majority of Canada’s life sciences firms are in Quebec, according to the economic development group Investissement Québec. Thanks to tax incentives and a skilled workforce, Montreal ranks eighth among cities in North America for pharma jobs, the group says. Merck & Co. targeted Quebec in March when it invested $35 million in the ...
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it