feat(screening): add global top-percent selection for deep analysis#7
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feat(screening): add global top-percent selection for deep analysis#7
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Introduce configurable screening selection modes (top_percent, top_k, threshold) with top_percent defaulting to 30%. Refactor analysis stage to rank screened papers globally before deep analysis and add tests for mode behavior, tie-breaking, and config validation.
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Summary
top_percent(default)top_kthresholdscreening_top_percent = 0.3Why
A static threshold can over/under-select depending on topic difficulty and candidate quality. Global top-percent selection makes deep-analysis volume adaptive while preserving a simple global workflow.
Validation
uv run nox -s lint typecheck test