Distribución del abies religiosa (kunth) schltdl. & cham. Bajo escenarios de cambio climático en el eje Neovolcánico, Mexico
Bibliographic record
Abstract
The sacred fir (Abies religiosa) is a species of high mountain temperate climate, found in the central states of México. The species serves as shelter for the monarch butterfly, which travels from the United States and Canada, and therefore has ecological importance. The current potential distribution of the sacred fir forests was determined, as well as under scenarios of climate change (CC), in the Transversal Neovolcanic Axis. The distribution models were obtained by applying the GARP algorithm in combination with climate, topographic, vegetation, soil coverages, and points of presence of the species. According to the results, the current potential distribution area of the sacred fir is concentrated mostly in the states of Estado de México, Morelos, Michoacán, Querétaro, Ciudad de México and Puebla with 5,190,902 ha. The possible distribution under scenarios of CC RCP4.5 for the year 2039 would be 8,060,023.10 ha, essentially in Hidalgo, Estado de México, Morelos, Michoacán, Querétaro and Ciudad de México. The results suggest a potential increase in the species distribution under the current scenarios and with CC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".