Pathologic Evaluation of the Cervical Spine Following Surgical and Chiropractic Interventions
Bibliographic record
Abstract
When patients die after chiropractic or surgical interventions of the cervical spine, pathologists tasked with the autopsy are frequently overwhelmed by the complicated anatomy, laborious dissections, complex operative procedures and surgical hardware, and the necessity to differentiate artifacts from trauma and disease. However, abundant data can be obtained from careful evaluation of the cervical spine in situ; extensive postmortem diagnostic imaging procedures; detailed dissections of the removed, formalin-fixed and decalcified spine; and histology. This study presents a regimented, stepwise approach to the evaluation of the cervical spine in these difficult cases, promotes uniform assessment, facilitates diagnoses, and supports the accumulation of otherwise hard-to-come-by reference material that can be of value in future cases. The resultant detailed autopsy findings may prove useful in the medico-legal death investigation process. Autopsy findings may also be of great value to health care providers involved in quality assurance processes.
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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 | 0.003 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".