On the sensitivity of machine-learned probabilistic weather forecast models to scale-aware scoring rules
Summary
Major revisionpanel verdict · 2026-09-01
Review Summary — On the sensitivity of machine-learned probabilistic weather forecast
Decision: Major Revision Target venue: In Silico Review strictness: Balanced (3/5) Reviewer panel: condensed (5 reports)
Reviewer Scores
- ethics — not applicable (The reviewer gave no score and did not say why.), excluded from the mean
- data_analysis — score 4.0/5 (confidence 4.0/5)
- reporting_reproducibility — score 3.0/5 (confidence 4.0/5)
- scientific_validity — score 3.0/5 (confidence 4.0/5)
- contribution_context — score 4.0/5 (confidence 4.0/5)
Panel average: not used; individual scores are advisory
Editorial Audits
- Citation Integrity Auditor — see full Markdown audit
- Methods Completeness & Reagent Traceability Auditor — see full Markdown audit
Estimated cost: $1.2766 Prompt cache: 243,830 tokens read, 100,230 written (45% of 537,824 input tokens served from cache)
Run Warnings
- ethics reviewer degraded: review Markdown was preserved, but no score could be extracted