Merrimack cuts 22 percent of workforce as CEO resigns
Bibliographic record
Abstract
Cancer drug developer Merrimack Pharmaceuticals Inc. is cutting nearly a quarter of its workforce and searching for a new CEO after announcing a restructuring to eliminate more than $200 million in costs. Cancer drug developer Merrimack Pharmaceuticals says it's cutting nearly a quarter of its workforce and looking for a new CEO.This comes, after the company announced a restructuring to cut more than $200 million in costs.Merrimack says President and CEO Robert Mulroy has resigned, effective immediately.It's board Chairman, Gary Crocker, is taking over in the interim.In a regulatory filing earlier this year, the Massachusetts-based company says it had 426 full-time employees.The company says it doesn't expect the restructuring to affect the launch of its pancreatic cancer therapy Onivyde (on-ee-vide), which was approved last year by regulators.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.267 | 0.010 |
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; both teacher heads 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".