Tourist and Maine Resident Drive Time to the Proposed Katahdin Woods & Waters National Park
Bibliographic record
Abstract
We assess the drive times and the number of potential tourists and Maine residents that could visit the proposed Katahdin Woods & Waters National Park in Northern Maine. We used ArcGIS to calculate the drive times from potential North and South park entrances to eight locations: Acadia National Park, LL Bean (Freeport), Kennebunk, Bangor Airport, Portland Jetport, Boston Airport, Montreal Airport, and Quebec Airport. We also analyzed the number of households in Maine within a one, two, and three hour drive time of the proposed park. We conclude that there are 153,000 households within a three hour drive time of the park, which is 27.6% of all households in Maine. Of that percentage, about 74% live between two and three hours away. Visitors traveling from Portland Jetport have a 4:24 drive time to the proposed park, while visitors to Acadia National Park have a 2:35 drive time. These results may have implications for whether or not people would take day or overnight trips.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".