Effects of ventilation on reproducibility of bioimpedance spectroscopy fluid ratio measures
Bibliographic record
Abstract
The aim of this study was to determine the score reproducibility of the observed extracellular-to-intracellular fluid (ECF/ICF) scores using generalizability theory across three ventilation conditions of the trunk and forearm segments. The test instrument employed was a Xitron Hydra ECF/ICF bioimpedance analyzer system Model 4200. Volunteer subjects were healthy North American males (n = 50) and females (n = 50), 18-71 years. Each segment was tested on a one-trial test, for each of the three ventilation conditions. The single trial was six continuous time measures, taken 5 s apart during a 30 s time period. The three ventilation conditions were the following: normal ventilation, regimented breathing and no ventilation. A two-facet, person-by-time, fully crossed design was used; all facets were treated as random. The ECF/ICF data for each segment were independently analyzed for each ventilation condition and each gender group. The findings were as follows. (1) The reproducibility of scores improved by using the forearm segment compared to the trunk segment, (2) breath holding improves the reproducibility of test scores compared to normal breathing on men's trunk scores, (3) breath holding was not superior to normal breathing on women's trunk scores.
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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 | 0.025 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".