Bibliographic record
Abstract
Capuchin monkeys are Neotropical primates (parvorder: Platyrrhini) pertaining to the subfamily Cebinae. This group is subdivided into two genera, the robust or tufted capuchins ( Sapajus ) and the gracile or untufted capuchins ( Cebus ) (Lynch Alfaro et al., 2012a , b ), although the species-level taxonomy is still controversial and not completely resolved (García-Restrepo & Montilla, 2021 ; Lima et al., 2017 , 2018 ; Martins et al., 2023 ; Szynwelski et al., 2024 ). These two genera represent two lineages that diverged from one another in the Miocene, with a late Pliocene diversification within each of the two genera (Lynch Alfaro et al., 2012a ). Formerly, both the robust and gracile capuchins were included in a single genus, Cebus , containing all robust forms in a single species, Cebus apella , while some species diversity was recognized in the gracile capuchins (Wright et al., 2015 ). Recent phylogenetic analyses of capuchin monkey species found two well-supported reciprocally monophyletic clades, corresponding to the morphologically distinct gracile and robust genera (Lima et al., 2017 ; Lynch Alfaro et al., 2012a ; Martins et al., 2023 ).
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.013 |
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".