Organization of glomerular territories in the olfactory bulb of post-embryonic wild chinook salmon<i>Oncorhynchus tshawytscha</i>
Bibliographic record
Abstract
The post-embryonic odor imprinting paradigm suggests Chinook salmon (Oncorhynchus tshawytscha) acquire memory to stream-specific amino acid olfactory odors prior to emergence as fry. Because effects of olfactory experience on development can be examined by mapping olfactory sensory neurons extending into distinct territories of glomerular neuropil in the olfactory bulb, glomerular patterning from early yolk-sac larva to fry was documented in wild salmonids, a temporal scale not yet thoroughly explored. Labeling olfactory sensory neurons with anti-keyhole limpet hemocyanin (anti-KLH) revealed seven spatially conserved glomerular territories visible at hatch and well established by the late yolk-sac larva developmental stage. Because of the responsiveness of microvillous olfactory sensory neurons to amino acids, corresponding glomeruli in the lateral bulbar region were mapped using anti-calretinin. The dorsolateral territory, distinct glomeruli of the lateral glomerular territory and the ventromedial glomeruli were immunoreactive to both KLH and calretinin. This study offers a morphological description of glomerular patterning in post-embryonic stages in wild Chinook salmon, a temporal window previously shown to be significant for olfactory imprinting. J. Morphol. 278:464-474, 2017. © 2017 Wiley Periodicals, Inc.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".