Sécurité informationnelle des systèmes cyberphysiques et risques à la santé et sécurité : quelle responsabilité pour le fabricant ?
Bibliographic record
Abstract
Les systèmes cyberphysiques (S.C.P.) sont des objets informatisés disposant d’une connectivité aux réseaux numériques et dont la fonction première est d’agir sur le monde physique. Parmi les exemples de tels systèmes, on retrouve les voitures autonomes, les stimulateurs cardiaques intelligents et certains objets connectés de l’Internet des objets (I.d.O.). En raison de leur nature, ils ont la possibilité de causer un préjudice physique grave à la suite d’une faille de sécurité informationnelle. Le présent mémoire a pour but de dégager, des principes du droit québécois, un cadre de responsabilité civile extracontractuelle applicable au fabricant d’un système cyberphysique et capable d’appréhender les particularités d’une problématique à la frontière des mondes virtuels et physiques.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".