Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Seminal fluid proteins (Sfp) are central in animal reproduction, from insects to mammalian species. In thecontext of the analysis of the functional properties of the Sfps from an evolutionary perspective, weinvestigated how they interact, paying attention to the architecture of the resulting network. The topologyof the Sfp proteome consists in several subnetworks, which were examined based on the evolutionaryage composition of their constituent genes, i.e. when these genes appeared during the fly phylogeny. Sfp-encoding genes were categorized based on their evolutionary age within five age classes: class A, genespresent before the Drosophila radiation; class B, genes originated before the split between the Drosophilaand Sophophora subgenera; class C, genes formed in early divergent lineages leading to D. willistoni andD. pseudoobscura species groups; class D, genes originated in the melanogaster species group; andclass E, genes present only in the D. melanogaster species subgroup, including the simulans speciescomplex and D. melanogaster. Through Monte Carlo simulations, we interrogated whether the observedevolutionary age composition of different subnetworks was expected by chance alone or there was asignificant enrichment for particular age classes in different subnetworks of the Sfp proteome.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.036 |
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 it