Bibliographic record
Abstract
Functional recovery is the ultimate goal of research into experimental therapy for spinal cord injury (SCI). The effective use of animal models of SCI requires functional assessment methods that can be reliably repeated in different laboratories. The aim of this chapter is to describe some key features of behavioural methodology which inform our laboratory’s decisions regarding appropriate assessments in rat models of SCI. These include recognition of the type of data being measured, assurance of appropriate sampling methods to improve reliability, and considerations of the animals’ motivation during completion of the behavioural tasks. We then illustrate these principles with methods used in our laboratory, a major emphasis of which has been biomechanical analysis of limb action during overground locomotion. We also describe analysis of skilled limb movements during more challenging tasks such as ladder locomotion and forelimb pellet retrieval. Our focus throughout is on objective quantitative assessment of movement that can be reliably used to assess functional capabilities in rat SCI models under different lesion or treatment conditions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".