Bibliographic record
Abstract
Extant and fossil Australian chelonioid turtles were examined for 57 osteological morphometric variables. Data were analysed using principal components analysis and canonical variates analysis, after Burnaby isometric 'size' removal, as well as multivariate allometry. Results indicate that Lepidochelys spp. are proportionately differentiated from other Cheloniidae. The majority of chelonioid osteological variables scale isometrically, with less than a third exhibiting positive or negative allometry. Skull length and width, postero-ventral skull, mandible length, scapular and pubic variables are found to be useful for differentiating between extant and extinct chelonioids. Skull length and width, mandible height, jaw symphysis length, premaxilla height, femoral length, scapular, pelvic, plastral and rib variables are established as useful differentiators of cheloniids. Australian fossil protostegids are morphometrically more similar to cheloniids than dermochelyids, and no cranial morphometric evidence could be found for the presence of more than one protostegid species. Some osteological allometric variables may be valuable for use in determining the relationships of chelonioids; however these should be examined in conjunction with morphology-based cladistic analyses to test established phylogenies.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".