Additional file 1 of Biochemical profile of human infant cerebrospinal fluid in intraventricular hemorrhage and post-hemorrhagic hydrocephalus of prematurity
Bibliographic record
Abstract
Additional file 1: Table S1. CSF and serum electrolyte concentrations in control individuals as well as CSF/Serum electrolyte ratio in control and PHH. Table S2. Correlations between electrolytes and osmolality, and CSF cell counts. Table S3. Subgroup analysis by sex of cerebrospinal fluid total protein, osmolality, and electrolytes in PHH. Sample size limitations permitted analysis only of the male cohort; there were insufficient samples for analysis by female sex. To address this limitation, regression analysis examining sex as an explanatory variable was also performed (please refer to Table S4). Values recorded as mean ± standard deviation. In the “P value’ column, ANOVA summary p-value was recorded on the top row while significant pairwise post-test P value were recorded on the bottom row. All pairwise comparisons were analyzed based on Dunn’s or Tukey’s post-test ANOVA depending on the distribution of the data (normal distribution or not). n, represents sample size. Table S4. F, t, and p values from regression analyses evaluating sex as an explanatory variable. Analysis of all CSF parameters resulted in non-significant p-values indicating sex is not an explanatory variable for differences in the CSF parameters. F=F-value; t=t-value; and p=p-value. Figure S1. Ultrasonographic image representation of Control, IVH and PHH.
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 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 | 0.001 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.854 | 0.145 |
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".