Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model
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
AMA Nisolle M, Bourguignon A. Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model. Anaesthesiology Intensive Therapy. 2023;55(5):382-383. doi:10.5114/ait.2023.134272. APA Nisolle, M., & Bourguignon, A. (2023). Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model. Anaesthesiology Intensive Therapy, 55(5), 382-383. https://doi.org/10.5114/ait.2023.134272 Chicago Nisolle, Marie-Laure, and Arnaud Bourguignon. 2023. "Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model". Anaesthesiology Intensive Therapy 55 (5): 382-383. doi:10.5114/ait.2023.134272. Harvard Nisolle, M., and Bourguignon, A. (2023). Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model. Anaesthesiology Intensive Therapy, 55(5), pp.382-383. https://doi.org/10.5114/ait.2023.134272 MLA Nisolle, Marie-Laure et al. "Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model." Anaesthesiology Intensive Therapy, vol. 55, no. 5, 2023, pp. 382-383. doi:10.5114/ait.2023.134272. Vancouver Nisolle M, Bourguignon A. Management of chronic low back pain: news on the lumbar medial branch block and the importance of the biopsychosocial model. Anaesthesiology Intensive Therapy. 2023;55(5):382-383. doi:10.5114/ait.2023.134272.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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