Growth and survival of seedlings of 14 species of lowland rainforest trees planted in the La Guaria Annex (Canada Plot) of La Selva Biological Station, Costa Rica, in 1986 and measured every six months or every year until 1992 (Part 2 of 2)
Bibliographic record
Abstract
During the 1960s, 1970s, and 1980s, Costa Rica’s old growth forests were being cut to clear land for cattle pastures and large-scale agriculture. Timber concessions were also growing pine, gmelina, and other non-native trees for harvesting. The Costa Rican government was developing plans for a reforestation program and for a Payment for Environmental Services program to combat forest loss. At this time there were no data available on the growth of native trees species. The TRIALS project (starting with the CANADA Plot) was designed by OTS (Organization for Tropical Studies) and the DGF (Dirección General Forestal) to measure the growth and survival of native tree seedlings planted on abandoned pasture lands at the La Selva Biological Station. Data from these seedlings formed the basis of the reforestation law and the Payments of Ecosystem Services (PES) plan and this model was replicated in many other areas of Costa Rica.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".