Bibliographic record
Abstract
Measures at Issue 2.1 The claims brought by Canada and Mexico concern the United States' country of origin labelling (COOL) requirements for meat products. 2.2 Canada submits that the COOL measure consists of the following provisions: (a) the Agricultural Marketing Act of 1946, as amended by the Farm Security and Rural Investment Act of 2002 (“2002 Farm Bill”) and the Food, Conservation, and Energy Act of 2008 (“2008 Farm Bill”); (b) the Interim Final Rule on Mandatory Country of Origin Labelling of Beef, Pork, Lamb, Chicken, Goat Meat, Perishable Agricultural Commodities, Peanuts, Pecans, Ginseng, and Macadamia Nuts, published on 1 August 2008 as 7 CFR Part 65 (“Interim Final Rule (AMS)”) and on Mandatory Country of Origin Labelling of Muscle Cuts of Beef (including Veal), Lamb, Chicken, Goat, and Pork, Ground Beef, Ground Lamb, Ground Chicken, Ground Goat, and Ground Pork, published on 28 August 2008 as 9 CFR Parts 317 and 381 (“Interim Final Rule (FSIS)”); (c) the Final Rule on Mandatory Country of Origin Labelling of Beef, Pork, Lamb, Chicken, Goat Meat, Perishable Agricultural Commodities, Peanuts, Pecans, Ginseng, and Macadamia Nuts, published on 15 January 2009 as 7 CFR Part 65 (the “2009 Final Rule (AMS)”); (d) the letter to “Industry Representative” from the United States Secretary of Agriculture, Thomas J. Vilsack, of 20 February 2009 (the “Vilsack letter”); and (e) any modifications, administrative guidance, directives or policy announcements issued in relation to items (a) through (d) above.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".