Are we prematurely predicting acute mountain sickness?
Bibliographic record
Abstract
acute mountain sickness, high altitude, nocturnal oxygen saturation, preterm birth Acute mountain sickness (AMS) commonly affects individuals ascending to altitudes above ∼2500 m, and is characterized by the presence of headache, along with other symptoms such as gastrointestinal distress, dizziness/light-headedness, and general fatigue and weakness.Healthy adults born preterm (<37 weeks of gestation) may be at greater risk for AMS due to differences in pulmonary function and respiratory loop gain (Bates et al., 2014) and have a higher prevalence of sleep-disordered breathing compared to their term born healthy counterparts (Crump et al., 2019).Predicting the occurrence of AMS in individuals is often regarded as the 'holy grail' of high-altitude research.Among the potential predictors, nocturnal S pO 2 stands out as the most promising.A recent study by Joyce et al. (2024) tested 18 healthy adults (seven females and 11 males; 36 ± 16 years) ascending to 4800 m altitude over 12 days.AMS was assessed through the Lake Louise Scoring Questionnaire each morning, and nocturnal S pO 2 was continuously recorded at 3300, 3850 and 4800 m.The authors found that overnight S pO 2 at 3850 and 4800 m was moderately correlated (r 2 = 0.34 and 0.43, respectively) with AMS scores the morning after arrival at 4800 m.In this issue of Experimental Physiology, Narang et al. (2025) investigated the relationship between nocturnal S pO 2 and AMS in individuals born full term versus preterm.In this well-designed study, the authors recruited 24 young, healthy adult males: 12 born at term and 12 born very preterm (gestational age ≤32 weeks and gestational mass ≤1500 g), matched for age, body mass index, VO 2 peak ,
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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 | 0.004 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".