L’ADN mitochondrial, un potentiel codant mésestimé
Bibliographic record
Abstract
Mitochondria are ancient organelles that emerged from the endosymbiosis of free-living proto-bacteria. They still retain a semi-autonomous genetic system with a small genome. Mitochondrial DNA (mtDNA) codes for 13 essential proteins for the production of ATP, the sequences of which are relatively conserved across Metazoans. The discovery of additional mitochondria-derived peptides (MDPs) indicates an underestimated coding potential. Humanin, an anti-apoptotic peptide, is likely independently transcribed from within the 16S rRNA gene, as are recently described SHLPs. MOTS-c, discovered in silico, has been demonstrated to be involved in metabolism and insulin sensitivity. Gau, is a positionally conserved open reading frame (ORF) sequence found in the antisense strand of the COX1 gene and its corresponding peptide is strictly colocalized with mitochondrial markers. In bivalves with doubly uniparental inheritance of mtDNA, male and female mtDNAs each carry a separate additional gene possibly involved in sex determination. Other MDPs likely exist and their investigation will shed light on the underestimated functional repertoire of mitochondria.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".