F I G U R E 1 in Testing non-lethal techniques for endoparasite detection and sex determination in pumpkinseed sunfish (Lepomis gibbosus)
Bibliographic record
Abstract
F I G U R E 1 Lateral left ultrasound comparison between low-score and high-score specimens. (a) View of the internal anatomy of the specimen. The liver (L) is the most rostral organ, the digestive tract (D) follows behind and the gonads (G) are the most caudal organ visible. (b) Ultrasound images from Lake Triton fish #40 given a low score of 0 during the procedure. The position of the liver (outlined in blue), the digestive tract (D) and the gonads (G). The liver appears to be homogeneous without any areas of hyperechogenity (H). (c) Ultrasound images from Lake Cromwell fish #32 given a high score of 3 during the procedure. Many areas of hyperechogenity (H) can be observed within the liver (outlined in red). Liver borders appear irregular (dotted red line).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".