Additional file 1 of Global prevalence and burden of meal-related abdominal pain
Bibliographic record
Abstract
Additional file 1: Figure S1. The frequency of having other GI symptoms is associated with having meal-related abdominal pain more frequently (Unadjusted multivariable regression model). Mixed ordinal regression models with frequency of meal-related pain (11-item scale, 0-100%) as outcome indicated that having meal-related abdominal pain more frequently was associated with having other GI symptoms more frequently. The frequency of all other GI symptoms questioned in the Adult Diagnostic Rome IV questionnaire were used as an independent variable for the separate mixed ordinal regression models. Country was included as random intercept effect to account for variability among countries. OR>1 correspond to higher odds of having meal-related abdominal pain more frequently. Table S1. Base model of the mixed ordinal regression*. Table S2. The degree of occurrence of other GI symptoms in subjects grouped by meal-related abdominal pain occurrence*. Table S3. Mixed linear regression unadjusted*.
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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 | 0.002 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.823 | 0.126 |
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".