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.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".