BMW adds 134,000 SUVs to 2016 driveshaft recall
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
BMW is adding nearly 134,000 SUVs to a 2016 recall to fix driveshaft joints that can fail and could cause the vehicles to stop moving. The expanded recall covers certain X5 and X6 SUVs from the 2011 to 2014 model years in the U.S. and Canada. BMW is adding nearly 134-thousand SUVs to a 2016 recall to fix driveshaft joints that can fail and could cause the vehicles to stop moving.The expanded recall covers certain X5 and X6 SUVs from the 2011 to 2014 model years in the U.S. and Canada.The company recalled about 21-thousand of the vehicles last year. It decided to expand the recall after getting more warranty claims.BMW will replace the front driveshaft at no cost to owners starting on April 24.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.029 |
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