Cladistic analysis of <scp>A</scp>radidae (<scp>I</scp>nsecta, <scp>H</scp>eteroptera) based on morphological and molecular characters
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
In this study, we present for the first time a cladistic analysis of the subfamilies of A radidae, using molecular and morphological characters. Eighty‐three taxa, including 79 species representing eight subfamilies, are treated. The analyses were performed using 72 morphological characters and approximately 1650 bp corresponding to three molecular loci ( CO 1, 16 S and 28 S ). Characters were analysed using parsimony and B ayesian methods. Based on the combined analyses, we find support for the monophyly of A radidae, including the subfamilies A radinae, A neurinae, C alisiinae, I soderminae, and M ezirinae and the paraphyly of P rosympiestinae and C hinamyersiinae. In all analyses, P rosympiestinae includes I soderminae. The T ermitaphididae were not found sister to the A radidae in the A radoidea.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it