Additional file 1 of Lipocalin 2 links inflammation and ankylosis in the clinical overlap of inflammatory bowel disease (IBD) and ankylosing spondylitis (AS)
Bibliographic record
Abstract
Additional file 1: Figure S1. Neutrophil and plasma cell counts in mice. Neutrophil count (A) and plasma cell count (B) were compared between ank/ank mice (n = 40) versus C3FeB6-A/Aw-jwt/wt mice (n = 21). Student’s t-test was used. Figure S2 Correlation of the primary and secondary pathology scoring systems. A. Correlation of primary and secondary pathology scores. B. Correlation of primary pathology scores and neutrophils counts. C. Correlation with primary pathology scores and plasma cell counts. Pearson’s correlation coefficient test was used. Figure S3 Correlation of fecal Lcn2 levels and colon pathology in mice. A. Fecal levels of Lcn2 in ank/ank mice and C3FeB6-A/Aw-jwt/wt mice with different pathology scores. B. Fecal levels of Lcn2 vs. total protein in ank/ank mice and C3FeB6-A/Aw-jwt/wt mice with different pathology scores. Pearson’s correlation coefficient test was used. Figure S4 Correlation of serum LCN2 levels and mSASSS in patients with AS only. Detection of serum LCN2 levels of different degrees of ankylosis (mSASSS) in AS patients. Pearson’s correlation coefficient test was used. Table S1. Comparison of the severity of subclinical inflammation in ank/ank vs. C3FeB6-A/Aw-jwt/wt mice.
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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 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.890 | 0.147 |
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".