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
4Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5029436374
ORCID evidence
Observed aliases (4)
- Rodrigo Goyannes Gusmão Caiado (openalex, provider refresh)
- Rodrigo Goyannes Gusmão Caiado (openalex, source metadata)
- Rodrigo Goyannes Gusm�ão Caiado (openalex, provider refresh)
- Rodrigo Goyannes Gusm�ão Caiado (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Other: 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 hybrid GA–ANN forecasting model, paired with DTW-based clustering to replicate models across similar items, delivers superior spare-parts demand forecasts in a railway case study and promises cost, service-level and sustainability gains—though evidence is limited to a single-operator demonstration.openalex | Rodrigo Goyannes Gusmão Caiado provider id |
2026-08-04 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.