Constraints, concerns and considerations about the necessity of estimating free glucocorticoid concentrations for field endocrine studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary We evaluate the utility of measuring corticosteroid‐binding globulins ( CBG ) and estimating free glucocorticoid ( GC ) concentrations for field endocrine studies. We assert that for three general reasons, measurement of free GC s might not be more useful than total GC s for many studies. First, estimates of so‐called ‘free’ GC s are likely inaccurate, in part because of the following: (i) other factors in the blood also bind GC s, (ii) CBG binds plasma steroids other than GC s and (iii) CBG binding affinity can vary with local conditions, such as enzymatic activity and tissue temperature. Second, evidence suggests an active role for CBG ‐bound GC s, CBG or both, in the vertebrate stress response, calling into question the validity and generality of the free hormone hypothesis. Third, free and total GC s function over different time frames. Free GC s are likely important in the seconds‐to‐minutes time‐scale of interaction with tissues, but total GC s could function at minutes‐to‐hours time‐scales by serving as the reservoir to continue supplying GC s to tissues. As transcription regulators, most GC effects manifest in hours; thus, total GC s would be the most appropriate measure for estimating total biological impact. Our understanding of the biochemistry and the biological actions of both GC s and CBG indicates that total GC concentrations are currently less prone to error and more biologically interpretable than estimates of free hormone. Although further work is necessary, total GC titres currently remain the most accurate and informative estimates of stress hormone levels to address biological questions in nature.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it