F I G U R E 2 in Calibrating acceleration transmitters to quantify the seasonal energetic costs of activity in lake trout
Bibliographic record
Abstract
F I G U R E 2 Temperature effects on aerobic and swim performance metrics. Panels A and B highlight measurements of Ucrit (a) and aerobic scope (AS), maximum metabolic rate (MMR), and resting metabolic rate (RMR) (b) for each temperature treatment. Panels C and D highlight the temperature performance curves for Ucrit (c) and AS, MMR, and standard metabolic rate (SMR) (d). Boxplots show the interquartile range, with whisker denoting the 95% CI. Black dots above or below the whiskers highlight outliers. Gray circles are observed measurements. Black diamonds reflect the mean value at each temperature. Letters denote significant differences between groups within a variable (differences determined using linear mixed effects models with Bonferroni-adjusted post hoc multiple comparisons tests; ANOVA outputs in Table S4). Temperature performance curves are summarized in Table S5 (ANOVA outputs in Table S3).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".