Comparison of black vs yellow coat color on rectal and gastrointestinal temperature in Labrador Retrievers- dataset
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Raw data for 16 black & yellow Labrador retrievers utilized in study titled " A comparison of black vs yellow coat color on rectal and gastrointestinal temperature in Labrador retrievers" Study consisted of 3 phases, 1- Baseline (30 min of dog resting in single-kennel inside climate controlled room) , 2- Walking in Sunlight (3o- min loose leash walking in large sand outdoor area in direct sunlight), 3- Cooling (15- min in single- kennel inside climate controlled room). All data gathered on a single day experiment, mid summer in Carbondale, IL. Rectal, Gastrointestinal (GI) temperatures, (Cortemp Sensors) Thermal imaging of eye and abdomen (FLIR camera) , and respiration rates (captured via gopro) were collected from participants. Environmental conditions (indoor and outdoor) were captured every 5 min throughout study. No significant differences noted in rectal, GI, thermal eye, thermal abdominal, respiration rate, nor water consumption between the group black and yellow Labrador Retrievers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it