[Species identification of the fragment of wood found in the left eye socket bone during exhumation of general Władysław Sikorski's corpse].
Bibliographic record
Abstract
During the exhumation of general Władysław Sikorski's corpse, a fragment of wood was found embedded in the left eye socket bone. The wood fragment was referred by the Institute of Forensic Research to the laboratory of Department of Forest and Wood Utilization, University of Agriculture in Krakow, where investigations were performed, aiming at determining the species of the wood. The fragment was cut into 20 microm thick microtome scraps of three anatomy sections: transverse, tangential and radial. The scraps were immersed in 99.8% ethyl alcohol for 24 hours and then for about 1 hour in xylene. Subsequently, they were placed between a microscope slide and a cover-glass in Canada balsam. The thus prepared scraps were then analyzed with the use of a Jenaval Carl Zeiss microscope. On the basis of microscope observations it was determined that the investigated fragment of wood belonged to Douglas-fir species (Pseudotsuga menziesii (Mirb.) Franco).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 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".