Iodine in milk: an Ontario study
Bibliographic record
Abstract
Two methods for the determination of iodide in milk were compared. The ion-specific electrode (ISE) method correlated well (r2=0.85) with the high performance liquid chromatography (HPLC) method. Mean milk iodide concentrations for retail milks were determined using HPLC. The data suggests that when milk is pooled and processed, differences in iodide concentration are rather small on average. Raw herd milk samples were analyzed over an eight-month period using ISE. The data indicates that when producer milks are pooled for processing, iodide levels in the finished product are similar to those in the raw material. The observed trend toward higher iodide levels in the late fall and winter versus the summer months suggests that season has an effect on milk iodide levels. Geographic region had little impact on iodide levels in the milk supply within the province. Teat-dipping practices using iodophore solutions resulted in the elevation of milk iodide levels.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".