Vulnerability and Sea Level Rise in the Coastal Tourism City of Playa del Carmen, Quintana Roo, Mexico
Bibliographic record
Abstract
The coastal tourism city of Playa del Carmen is located in the heart of the Mexican Caribbean’s Riviera Maya. This attractive sun and beach destination has the largest number of hotel rooms in the country (i.e. 10,000 more than Cancún), which has made it Mexico’s main magnet for tourists from the United States (US), Canada and Europe. Playa del Carmen is the second biggest city in the state of Quintana Roo and the fastest-growing metropolis in Mexico and Latin America. Rapid urbanisation and tourism development have altered the city’s natural ecosystems, among them mangroves and wetlands. These changes have disturbed the sedimentary dynamics of the coastal dunes and put more pressure on the barrier reef system. The area’s vulnerability was analysed based on flood scenarios of a 1 metre (m), 2 m and 3 m sea level rise to estimate the total property damage in US dollars.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".