Tarif des honoraires des notaires de la province de Quebec.
Bibliographic record
Abstract
Ventes, Promesses de vente, Echanges et Cessions La considération stipulée dans l'acte ou la valeur des biens étant de 1. $100 ou moins, l'honoraire sera de $ 1 00 G. Above $6 000 but not exceeding $10 000 8 12 00 And above $10,0)0, un additionnai fee ac- cording to the amount, trouble and circumstances ARTICLE IV Leasee "When the annual rent, irrespective of the other conditions in, or the length of the lease, or other amounts in the deed, is : 1. slOO or less the fee will be $ 1 00 2. Above 8100 bnt not exceeding $400 ARTICLE VI Acquittances and Discharges When the amount stipulated in the deed ie : 1. s400 or lees,the fee will be $ 1 00 2. Above 8400 but not exceeding 81,000.... 2 00 3. Above 81,000 but not exceeding $2,000.3 00 4. Above 82,000 but not exceeding 84,000.4 00 5. Above 84,000 but not exceeding 86,000.. 5 00 6. Above 86,000 but not exceeding 88,000.6 00 % And above 88,000, an additionnai fee ac- cording to the amount paid, trouble and circumstances.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.106 | 0.007 |
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".