When few survive to tell the tale: thymus and gonad as auditioning\n organs: historical overview
Bibliographic record
Abstract
Unlike other organs, the thymus and gonads generate non-uniform cell\npopulations, many members of which perish, and a few survive. While it is\nrecognized that thymic cells are 'audited' to optimize an organism's immune\nrepertoire, whether gametogenesis could be orchestrated similarly to favour\nhigh quality gametes is uncertain. Ideally, such quality would be affirmed at\nearly stages before the commitment of extensive parental resources. A case is\nhere made that, along the lines of a previously proposed lymphocyte quality\ncontrol mechanism, gamete quality can be registered indirectly through\ndetection of incompatibilities between proteins encoded by the grandparental\nDNA sequences within the parent from which haploid gametes are meiotically\nderived. This 'stress test' is achieved in the same way that thymic screening\nfor potential immunological incompatibilities is achieved - by 'promiscuous'\nexpression, under the influence of the AIRE protein, of the products of genes\nthat are not normally specific for that organ. Consistent with this, the Aire\ngene is expressed in both thymus and gonads, and AIRE deficiency impedes\nfunction in both organs. While not excluding the subsequent emergence of hybrid\nincompatibilities due to the intermixing of genomic sequences from parents\n(rather than grandparents), many observations, such as the number of proteins\nthat are aberrantly expressed during gametogenesis, can be explained on this\nbasis. Indeed, promiscuous expression could have first evolved in\ngamete-forming cells where incompatible proteins would be manifest as aberrant\nprotein aggregates that cause apoptosis. This mechanism would later have been\nco-opted by thymic epithelial cells which display peptides from aggregates to\nremove potentially autoreactive T cells.\n
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".