Peer Review #2 of "Energy cost associated with moving platforms (v0.2)"
Bibliographic record
Abstract
Background: Previous research suggests motion induced fatigue (MIF) contributes to significant performance degradation and is likely related to a higher incidence of accidents and injuries.However, the exact effect of continuous multidirectional platform perturbations on energy cost with experienced personnel on boats and other seafaring vessels remains unknown.Objective: The objective of this experiment was to measure the metabolic energy costs (EC) associated with maintaining postural stability in a motionrich environment.Methods: Twenty volunteer participants, who were free of any musculoskeletal or balance disorders, performed three tasks while immersed in a moving environment that varied motion profiles similar to those experienced by workers on a midsize commercial fishing vessel [static platform (baseline), low and high motions].Cardiorespiratory parameters were collected using an indirect calorimetric system that continuously measured breath-by-breath samples.Heart rate was recoded using a wireless heart monitor.Results: Results indicate a systematic increase in metabolic costs associated with increased platform motions.The increases were most pronounced during the standing and lifting activities and were 50% greater during the high motion condition when compared to no motion.Increased heart rates were also observed.Discussion: Platform motions have a significant impact on metabolic costs that are both task and magnitude of motion dependent.Practitioners must take into consideration the influence of motion rich environments upon the systematic accumulation of operator fatigue.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.013 | 0.123 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.162 | 0.070 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".