Milk Synthetic Response of the Bovine Mammary Gland to an Increase in the Local Concentration of Arterial Glucose
Bibliographic record
Abstract
Concentrations of glucose in the external iliac artery feeding one udder half of 14 midlactation Holstein cows were increased by infusion to test the following three hypotheses of mammary function: 1) that mammary glands control their blood supply to maintain intracellular energy balance, 2) that milk precursors are taken out of capillary blood according to mass action kinetics, and 3) that the rate of milk component synthesis is dependent on its precursor's uptake from blood. The first seven cows received 20 g/h glucose during 10 h of infusion. Arterial concentrations of glucose were locally increased by only 10%, and the iliac plasma flow was not affected by glucose infusion, so the next seven cows were given 90 g/h glucose. Quantitative predictions resulting from the hypotheses were that arterial plasma flow would decrease by 32% with 90 g/h glucose infusion, glucose uptakes would increase and acetate, fatty acid, and amino acid uptakes decrease, and milk protein and fat yields and percentages would decrease. Iliac plasma flow decreased 16%, half of what was predicted, which suggests that other regulatory processes besides blood flow control took part in the response. Acetate and fatty acid uptakes by the mammary glands were reduced as predicted because of the lower blood flow, but an unexpected depression in extraction of plasma triacylglycerol also contributed to the reduced fatty acid uptake. Milk fat and protein yields were not affected by the exogenous glucose, falsifying the third hypothesis that milk component secretion is a function of uptake of its precursor. Milk fat and protein percentages declined with glucose infusion because of increased lactose synthesis and secretion of water into milk.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".