Replication Data for: Timber yield from smallholder agroforestry systems in Nicaragua and Honduras
Bibliographic record
Abstract
Permanent sample plots (PSP) were established—in 2010 in Nicaragua and in 2011 in Honduras—in agroforestry systems with different timber species. These systems include: (i) silvopastoral systems (SPSs) with 0.5 ha each one; (ii) coffee farms, 0.1 ha each; (iii) cocoa farms, 0.1 ha each; and (iv) living fences (LFs) each 100 m long. Information from communities and farmers involved in CATIE’s projects (Mesoterra, CAFNET and Finnfor) was used to identify and select the farms, using the following criteria: (i) be a smallholder farm; (ii) have potential for timber production, with at least one commercial timber species; and (iii) farmer be available and willing to participate in the research. Diameter at breast height (DBH), commercial and total height, stem form, mortality and natural regeneration were evaluated in forestry inventories performed in each PSP in 2010, 2011, 2012 and 2014 in Nicaragua; and in 2011, 2012 and 2014 in Honduras. Paper-based data collection was used between 2010 and 2012; a smartphone-based method was adopted in 2014 to assist in PSP measuring in both regions.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.012 |
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".