Research, hypothesis and experiment
Research question, hypothesis, experiment design, run and interpretation of the result. AI training and evaluation use specialized child models.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
Bundle → Layer → Finding → Questions Missing, in the backlog
Not described yet. This gap is in the card backlog.
Note: Research contour: bundles not designed yet; questions are listed as open questions.
Classifiers Filled
- Family
- Enterprise profiles
- Category
- Enterprise subject
- Entry kind
- subject
- Domain
- EnterprisePRD
- Industry
- Cross-industry
- Tags
- EM-PRD-04W2subjectResearchStudyHypothesisExperimentDesignExperimentRunResearchFinding
What it is Filled
Research question, hypothesis, experiment design, run and interpretation of the result. AI training and evaluation use specialized child models.
Why it exists Filled
Research question, hypothesis, experiment design, run and interpretation of the result. AI training and evaluation use specialized child models.
Distinguishing features Derived, awaiting review
- The hypothesis precedes result evaluation or is marked post-hoc
- A run pins the versions of its inputs
- A conclusion states its limits of applicability
What robots and AI may and may not do Derived, awaiting review
Must not
- Negative case: A failed experiment is deleted and the hypothesis is replaced retroactively.
Note: Negative case of the research brief, not yet a rule for agents.
Moral aspects Missing, in the backlog
Not described yet. This gap is in the card backlog.
Owners Filled
Steward
Руководитель продукта
Master systems
- Каталог продуктов
- discovery
- PLM
Links to other meta-models Filled
neighbor
- EM-KNW-02
references
- WM-ACT-022 - conceptual-candidate
- WM-KNW-009 - conceptual-candidate
- WM-ACT-036 - conceptual-candidate
What else AI and robots need to interact with it Incomplete
Identity and identifiers required Derived, awaiting review
- ResearchStudy
- Hypothesis
- ExperimentDesign
- ExperimentRun
- ResearchFinding
Direct properties not applicable Not applicable
Not applicable
Enterprise record contour: physical properties belong to referenced world models.
Recognition required Missing, in the backlog
Not described yet. This gap is in the card backlog.
Capabilities and actions required Missing, in the backlog
Not described yet. This gap is in the card backlog.
Hazards and failure modes required Missing, in the backlog
Not described yet. This gap is in the card backlog.
Standards and interfaces required Missing, in the backlog
Not described yet. This gap is in the card backlog.
Context of use required Missing, in the backlog
Not described yet. This gap is in the card backlog.
Sources Filled
- TM Forum SID: product/service/resource and commercial roles
- IDTA AAS: physical assets and composite descriptions
- Product management and engineering configuration; compare selected PLM and software practices
Open questions
- Which conditions make a result reproducible?
- How to distinguish absence of effect from absence of data?
- How to link a negative result to a subsequent decision?
- Установить границу и решение reuse/extend/new по действующим спецификациям.
- Подтвердить semantic crosswalk, права и source mastership.
- Выбрать immutable refs; провести проверки fixtures до заявления о публикационной готовности.
Machine files
Provenance
enterprise research programme · published-partial
Built from: enterprise/models/em-prd-04/brief.json
Still in Russian: suggested owner, blocking decisions, vercy candidates. Translate in research/enterprise/i18n/units.en.json.