Evolving networks as coupled differential equations: a phenotypic model of Dipterans during embryogenesis
Bibliographic record
Abstract
An elaborate network of genes defines the genetic profile along the anteroposterioraxis of certain individuals in the Diptera family, establishing a robust pattern that differsslightly between species. Differences in the segmentation gene pattern of Drosophilaand Anopheles suggest that the parameters defining their networks evolved differentlyfrom the last common ancestor onwards. The study of the evolution of thenetwork, defined by a set of differential equations, using our genetic algorithm revealsa phenotypic pathway that explains these dissimilarities while conserving thenecessary conditions for viable species. This computational search through a modeland parameter "hyperspace" using the genetic algorithm predicts homologies betweendifferent stripe modules for the invariant target gene, eve. Additionally, anetwork model is further developed to explain the polarity of the pair-rule gene patternexpressed in the embryo, which suggests that ancestral Dipteran exploited adynamic network to establish a proper periodic pattern of the other segmentationgenes with respect to eve.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".