Data and R-scripts from: Plant diversity in diet of Costa Rican primates in contrasting habitats: a meta-analysis. Diversity
Bibliographic record
Abstract
Here we presented the datasets of the meta-analysis on the diet diversity of the four Costa Rican non-human primates (i.e. Alouatta palliata, Ateles geffroyi, Cebus imitator, and Saimiri oerstedii). We separate the main dataset in three Appendix: Appendix 1: Detailed list of the studies on the diet of CR-NHP reviewed in this meta-analysis Appendix 2: Database on the food species exploited by the four primate species Appendix 3: PDFs of the papers included int Table 1 Appendix 4: List of the main plant species, orders and families used by monkeys as food source Appendix 5: R scripts on the analysis and main results of the diversity analysis in iNEXT Appendix 6: R scrips and results of the PERMANOVA assessing the influence of the predictor variables on the food plant assemblage
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.210 | 0.065 |
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".