The Light Bite: Red‐Nosed Cuxiu ( <i>Chiropotes albinasus</i> , Primates) Exploit Differential Penetrability of Hard Fruit Husks When Selecting Dental Puncture Sites
Bibliographic record
Abstract
ABSTRACT The Amazonian primate Chiropotes albinasus (red‐nosed cuxiu) is a specialist on seeds of hard‐husked unripe fruit. These are accessed with specialized processing behavior, involving highly modified canines and incisors. This is energetically demanding and carries a high dental damage risk. Hypothesizing that red‐nosed cuxiu process foods in ways that minimize both energetic expenditure and maximize dental safety, we predicted that individuals would selectively bite fruit husks at locations that were easiest to penetrate. Sutures were the easiest area to penetrate for all the 11 analyzed red‐nosed cuxiu diet species with functioning (non‐fused) sutures. Quantification of bite mark locations on these fruits showed significant clustering along the lower‐penetrability areas (sutures) in 8 of 11 species (72.7%). This pattern did not exist for another 10 species that lacked sutures; bites did not cluster on the thinnest (and most easily penetrated) parts of the husk for 9 of these 10 species (90%). For four species that were functionally indehiscent due to fused or thick sutures, penetrability was lowest at the face (2 species) and suture (2 species). Thus, despite robust crania, mandibles, and dentition that appear highly suited for resisting forces generated by powerful biting action, red‐nosed cuxiu deploy a more refined technique and often select the weakest areas of fruits for their seed‐accessing bite sites, especially when the fruits are dehiscent with unfused sutures.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".