Conseil national de recherches du Canada : vérification des frais d'accueil pour l'exercice 2007-2008 : vérification interne, CNRC
Bibliographic record
Abstract
Le présent rapport présente les constatations tirées de la vérification de conformité annuelle des frais d'accueil pour l'exercice 2007-2008 du Conseil national de recherches du Canada (CNRC). La décision de mener cette vérification a été approuvée par le président le 27 juin 2007, sur la recommandation du Comité de la vérification, de l'évaluation et de la gestion des risques, dans le cadre du plan de vérification interne axé sur les risques pour 2007-2008 à 2009-2010 du CNRC. En 2007-2008, les frais d'accueil se sont chiffrés à 1,5 million de dollars.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".