SAMPLE MUTUAL INSURANCE COMPANY ILLUSTRATIVE IFRS FINANCIAL STATEMENTS
Bibliographic record
Abstract
The information contained in these sample financial statements are of a general nature and are not intended to address the particular circumstances of any particular entity. Although we endeavour to provide accurate information, there can be no guarantee that such information is accurate as of the date on which it is received, or that it will remain so in the future. No action should be taken, or refrained from, without appropriate professional advice and after an examination of the facts and circumstances of the particular situations. No responsibility is assumed or implied for any loss sustained by any person or organisation that relies on the illustrative financial statements. This publication has been carefully prepared, but it has been written in general terms and should be seen as broad guidance only. The publication cannot be relied upon to cover specific situations and you should not act, or refrain from acting, upon the information contained therein without obtaining specific professional advice. Please contact BDO Canada LLP to discuss these matters in the context of your particular circumstances. BDO Canada LLP, its partners, employees agents and affiliates do not accept or assume any liability or duty of care for any loss arising from any action taken or not taken by anyone in reliance on the information in this publication or for any decision based on it. The sample financial statements are based on the following assumptions: •\t No new standards or amendments to standards have been early adopted; •\t All investments are classified as available-for-sale; and •\t Both property, plant & equipment and investment property will be accounted for using the cost model.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.148 | 0.065 |
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".