Woman found after getting lost for 12 hours during half-marathon
Bibliographic record
Abstract
A Florida woman who became lost during a half-marathon trail run was found past nightfall after wandering around a 25,000-acre park for nearly 12 hours. A half-marathon turned into a marathon-of-a-day for a woman in Florida who got lost during a race.Melissa Kitcher was in good spirits after being found Sunday evening.She says she made a wrong turn more than three miles into the the 13.1 mile run.She was found past nightfall after wandering around a 25-thousand acre park for nearly 12 hours.The director of the race said he had no idea Kitcher was still on the trail until her husband called hours after the run finished.Kitcher said her cell phone froze before the race but she never really worried since she knew her family would come looking for her.She says she plans to run the Sarasota Half Marathon in March and this time, finish.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 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; both teacher heads agree on what is shown here.
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".