Pectoral Fin Breeding Tubercle Clusters: A Method to Determine Zebrafish Sex
Bibliographic record
Abstract
FIG. 1. Distinguishing male and female zebrafish based on large clusters of breeding tubercles (BTs).(A) Male zebrafish possess BT clusters, observed as brown lines, along the central pectoral fin rays (blue arrowheads).(B) Female pectoral fins are translucent, as they do not possess BT clusters (pink arrowhead).(C) Dorsal view of zebrafish in a standard breeding tank.Female pectoral fins (pink arrowheads) can be distinguished from male pectoral fins (blue arrowheads).(D) Under the stereomicroscope, male zebrafish possess BT clusters that appear as spike-like structures along the central fin rays.(F) These structures are absent on female pectoral fins.(E, G) Higher magnification of the central rays of male (E) and female (G) pectoral fins (red boxes in D, F) highlights the presence (blue arrowheads) and lack of BTs, respectively.All scale bars = 200 lm.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".