Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125580104
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Michael Vössing (openalex, provider refresh)
- Michael Vössing (openalex, source metadata)
- Micheal Vössing (openalex, provider refresh)
- Micheal Vössing (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| A 'profit-per-decision' metric converts binary classifier performance into expected business value, and a Viability Assessment Framework helps firms evaluate ML projects before and after deployment; expert interviews and scenario tests with 11 companies suggest the approach improves alignment between technical teams and business stakeholders.openalex | Michael Vössing provider id |
2026-02-10 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.