Quantitative magnetic resonance: a rapid, noninvasive body composition analysis technique for live and salvaged bats
Bibliographic record
Abstract
Abstract Quantitative magnetic resonance (QMR) is a new technology for measuring body composition of live, nonanesthetized animals (fat mass, lean mass, and total body water) in 4 min or less. We conducted a validation study to compare QMR body composition analysis of 3 species of bats (mass range 5.77–31.30 g) with traditional chemical extraction. In addition to scans of live animals, we tested the effectiveness of QMR for salvaged specimens (bats killed by wind turbines) and the effects of carcass temperature. Our analysis indicates that QMR body composition analysis is effective for live and salvaged animals. Frozen carcasses could not be analyzed, but results were not dramatically affected for specimens at 4°C and 37°C. QMR analysis eliminates the need to euthanize animals to determine body composition precisely, allows rapid and efficient data collection, and makes it possible to follow individuals longitudinally through time.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".