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
The phylogeny of the Felidae is reconstructed using a total evidence approach combining sequences from 12S rRNA, 16S rRNA, NADH-5, and cytochrome b genes with morphological and karyological characters. The 1504-character data set generated two equally parsimonious trees (CI = 0.413, 1795 steps) of which a strict consensus revealed one polytomy in the placement of the bay cat group. The tree supports several traditional groupings such as the genera Panthera and Lynx and the ocelot group of small South American felids, and it provides additional resolution of relationships within and among the major felid lineages. Combining phylogenetic, distributional, and ecological data indicates that vicariant speciation has played a relatively minor role in the diversification of the felids (approximately 26% of events), while sympatric speciation has been more important than expected on theoretical grounds (approximately 51.8% of events), although postspeciation dispersal may have blurred the boundaries between sympatric, parapatric, and peripheral isolate modes. An examination of ecological changes on the felid tree shows repeated patterns of resource partitioning in time (activity patterns), space (preferred habitat type), and food (as measured by body size) among closely related species. The rapid diversification of the cats thus appears to have been associated more with ecological than with geological separation.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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