Characterization of the JAR Sealants in the Fluid Collections of the Muséum National D'histoire Naturelle
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
Abstract Over the centuries, the composition of jar sealants in natural history museum fluid collections has changed but has not been the subject of extensive documentation. Consequently, it is of paramount interest to increase our knowledge of sealant composition as well as to correlate this information with the date of manufacture and type of preparation. As an initial step towards achieving this goal, an analytical protocol was developed to characterize the composition of sealants encountered in fluid collections of the Muséum national d'Histoire naturelle (MNHN) in Paris. Fourier transform-infrared (FT-IR) spectroscopy and pyrolysis-gas chromatography/mass spectrometry (GC/MS) were used to investigate the nature of selected jar sealants, and these techniques proved to be efficient for the identification and characterization of waxes and resin additives in sealing samples. First results are very promising; similar examinations should be continued on a large scale for an exhaustive analysis of the MNHN fluid collections.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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