On “Lower Limb Functional Index…” Gabel CP, Melloh M, Burkett B, Michener LA. Phys Ther. 2012;92:98–110.
Bibliographic record
Abstract
We were interested to read the article by Gabel and colleagues,1 who conducted a head-to-head comparison study of the psychometric properties of the Lower Extremity Functional Scale (LEFS),2 an instrument we developed in 1999, and the Lower Limb Functional Index (LLFI), an instrument developed by the authors. We have long been advocates of head-to-head comparisons of competing instruments to determine which has the greatest potential to positively affect clinical care.3 We would like to make some general comments regarding the conceptual framework, and then make more specific comments regarding the methods and literature interpretation in Gabel and colleagues' article. We developed the LEFS2 based on the World Health Organization's model of disability and handicap.4 The more contemporary terms consistent with the current version of the International Classification of Functioning, Disability and Health (ICF)5 that guided instrument development are “activity limitations” and “participation restrictions.” Because our focus was on people with musculoskeletal disorders of the lower extremity, all of the items in our scale captured the person-level activity limitations and participation restrictions most relevant to people with disorders of the lower extremity. Notably absent from the LEFS are questions related to impairments (eg, pain, joint stiffness) or mental health status (eg, irritability, depression). Our rationale for this approach was that we saw problems with other functional status instruments available at the time because they combined questions related to impairments, such as pain and joint stiffness, with items dealing with person-level function and items related to psychological distress. An example of …
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".