Adults and tadpoles of species of Hylodidae (Anura): history and taxonomy perspectives
Bibliographic record
Abstract
We make a historical review of the rates of descriptions of adult and larval forms of frogs of the three genera of Hylodidae: Crossodactylus Duméril & Bibron, 1841; Hylodes Fitzinger, 1826; and Megaelosia Miranda-Ribeiro, 1923. We analyze and compare the evolution of the number of descriptions of adults and tadpoles of the 42 species presently known in the family. There has been an increase in the number of descriptions of both adult and larval forms in the last decades. Nevertheless, the number of descriptions of tadpoles still does not match the number of adult forms described in Hylodidae. The great number of Hylodidae recent described and the continuous process of deforestation in Atlantic forest remnants emphasize the need to improve research efforts for this group.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".