Analysis of the feasibility of new long-haul routes from Palma de Mallorca airport (PMI/LEPA)
Bibliographic record
Abstract
Given the volume of passengers currently traveling to the island of Mallorca, the remaining capacity available at the airport and the arrival on the market of new single-aisle aircraft, more sustainable and with a greater range, it is of particular interest to study the possible entry of these new aircraft into markets, unexploited until that given moment, with direct flights by the various airlines from and to the island of Mallorca, a claim that has been made for years to diversify the origin of tourists on the island. This study aims to evaluate the possibility of operating long-haul routes from and to Palma de Mallorca to destinations located in the United States, Canada, the United Arab Emirates, Qatar, and India using single-aisle aircraft with greater range minimizing or removing the potential capacity limitations that could appear and following the different regulations that apply depending on the type of flight being made as well as trying to follow the different recommendations. A comparison is also made between the different models of single-aisle aircraft candidates to operate these routes to show which is best suited to each of them. An analysis is also made to locate the current and near future state of tourism on the island of Mallorca in terms of current destinations and number of operators per route, availability of means and boarding gates, both remote and contact, at Palma airport as well as the remaining capacity of the boarding gates for a full week at the peak tourist season.
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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 | 0.001 | 0.002 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".