Bibliographic record
Abstract
We thank Alwardat (1) for his interest in our meta-analytic review (2). PICO or PICOT (Participants, Intervention, Comparison, Outcomes, Time frame/Type of study) is routinely used in systematic reviews and meta-analyses of controlled trials (3, 4). Although, as reported, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (4) when developing our review protocol, the information that we presented in our introduction and methods sections accords with PICOT, as Alwardat (1) quotes from our inclusion and exclusion criteria: “Trials were eligible for inclusion in the review if they compared an exercise intervention with usual daily activities.” Three components of PICOT are defined in that sentence: I (exercise intervention), C (usual daily activities), and Type of study (trials). We clearly defined our outcomes in the introduction. Low back pain (LBP) was the primary outcome, while the secondary outcomes were intensity of LBP, disability due to LBP, health-care consultation for LBP, and sick leave due to LBP. With regard to participants, we reported that we included interventions that targeted defined population groups with no attempt to screen out participants with LBP at the time of recruitment, but we excluded controlled trials in which participants all had LBP at baseline. We were also clear that controlled trials were eligible for inclusion in the review if at least some of the participants were free from LBP at baseline. To date, only a limited number of controlled trials on the effectiveness of exercise in the primary prevention of LBP and associated disability have been published. We therefore included trials on different types and intensities of exercise. However, for the primary outcome of the review, despite heterogeneous interventions, the amount of between-study heterogeneity was low. Moreover, we performed subgroup analyses by type and frequency of exercise. For the primary outcome, we reported estimates for strengthening and stretching exercises, strengthening and aerobic exercises, and strengthening and either stretching or aerobic exercises, as well as estimates for daily exercise and exercise 2–3 times/week. This study was funded by the Finnish Ministry of Education and Culture (grant 253715). Conflict of interest: none declared.
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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 | 0.005 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.100 | 0.070 |
| Insufficient payload (model declined to judge) | 0.011 | 0.012 |
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".