Additional file 6 of Micro-CT imaging of live insects using carbon dioxide gas-induced hypoxia as anesthetic with minimal impact on certain subsequent life history traits
Bibliographic record
Abstract
Use of non-toxic iodinated contrast agents in live insect micro-CT imaging. 3D reconstruction (at 20 μm isotropic voxels) of live anesthetized females of: (I) 1 week-old L. decemlineata (Protocol 5); (II) 1d-old P. unipuncta (Protocol 3) showing sagittal views of (a) 3D-volume of exoskeleton; (b) 3D-MPR of whole body showing the internal structures; and (c) the tracheal system. The CPB individuals (I) were allowed to move freely in a plastic Petri dish containing 20% Lugolʾs solution (for faster staining) as contrast agent for 1 h. The Petri dish was placed in a slanted position so that the individuals could walk/swim without drowning. These stained insects were able to live and reproduce normally after this staining process and scanning. We did not quantify possible toxicity of this Lugol’s solution to the organisms. The TAW adults (II) were fed 8% sugar water containing Omnipaque 350 contrast agent (1:11 v/v; can be adjusted for optimal contrast ratio). (DOC 1929 kb)
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.894 | 0.238 |
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".