Subaxial Cervical Spine Trauma
Bibliographic record
Abstract
Subaxial cervical spine injuries are common, ranging in severity from minor ligamentous strain or spinous process fracture to complete fracture-dislocation with bone and ligament failure, resulting in severe spinal cord injury. Understanding the epidemiology, anatomy, biomechanics, and classification of subaxial cervical spine injuries is important. Emergent management of such injuries is based on obtaining an accurate clinical history, careful physical examination, and organized radiographic evaluation. Attaining a unified approach to the wide spectrum of subaxial cervical injuries is difficult. In addition, controversy exists regarding the safety of closed reduction in certain injury patterns and the administration of methylprednisolone for acute spinal cord injury. Definitive management (surgical or nonsurgical) is based on the assessment of the mechanical instability of the injury, the presence or absence of neurologic impairment, and various patient factors that may influence outcome. Several complications, including the deterioration of neurologic status, may occur with either surgical or nonsurgical management, but the most frequent mistake made is missing the injury on initial evaluation.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".