“Across the Board” Posturography Abnormalities in Vestibular Injury
Bibliographic record
Abstract
OBJECTIVE: To analyze a newly defined group of Computerized Dynamic Posturography abnormalities and to determine if these patients' abnormalities are of vestibular origin. STUDY DESIGN: Analysis of results drawn from our larger study of two groups of sequentially referred patients complaining of dizziness and/or imbalance. SETTING: A tertiary and quaternary care ambulatory referral centre. PATIENTS: Two groups of patients were studied. One was a group of patients who had suffered work-related head trauma and had subsequent complaints of dizziness and/or imbalance. The other was a group of patients referred for dizziness and/or imbalance who had no history of head trauma, work related injury. or litigation procedures. INTERVENTIONS: Standard vestibular assessment including Computerized Dynamic Posturography was carried out on all patients. MAIN OUTCOME MEASURES: CDP results of all patients were reanalyzed and all results were pulled which were abnormal on at least 5 of 6 sensory conditions. All results were analyzed using a quantitative method of detecting malingering and also using our newly developed nine point subjective/objective criteria scale. RESULTS: While the standardized formulae categorized most of these results as "aphysiologic," our nine-point protocol showed most of the patients to be legitimate. CONCLUSIONS: These results represent a legitimate subgroup of vestibular patients that we feel have been more or less unrecognized, many of whom are incapacitated by imbalance and disorientation. These results also are helpful in measuring safety of these patients in the workplace.
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 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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".