Bone marrow fat content from moose in northeastern Minnesota, 1972-2000.
Bibliographic record
Abstract
ABSTRACT: Percent fat in femur bone marrow has been used as an indicator of animal conditionat time of death. However, femur bone marrow is not always available for col lection. We used linearregression to examine relationships among marrow fat values for long bones (i.e., femur, tibia,mandible, humerus, radius, tarsal and carpal bones) ofmoose {Alecs alce.s) from northeasternMinnesota during 1972-2000. Linear regressions for bone marrow fat in each set of bones (pairedwith femur) in calves and adults were significant and highly correlated (/- ^ 0.X3-0.99). Linearregressions for femur bone marrow fat for yearling moose were significant and highly correlaled fortibia, humerus and radius bones {/-^'^ 0.86-0.931. and lessso for tarsal bones {/•- = 0.63). Bone marrowfat deposition appeared first in proximal and distal bones and was mobilized last in distal bones.Calves had higher femur fat in fall and early winter than late winter and spring. Month, season, andyear had no significant effect on femur marrow fat percent for yearlings or adults. Percent femurmarrow fat was lower in accidentally killed calves than accidentally killed yearlings or adults. Adultskilled by disease had lower percent femur fat than those killed by accident or wolves (Om/.s lupus).Amount of adult male femur fat was loosely correlated to a winter severity inde.v for the previouswinter. Our results suggest that fat deposition and mobilization were similar to that found in otherstudies and that bone marrow fat content may be a good indicator of relative moose health withina population.ALCES VOL. 39: 273-285 (2003)Key words: Alce.s alecs, hone marrow, death, deposition, fat. femur. Minnesota, moose, wolves
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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) | 0.000 | 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) | 0.001 | 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".