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返書管理の問題点《たかが返書...されど返書》下村裕見子, 小泉一行, 加島直人, 川島肇, 高田中成, 三谷嘉章 +1 more
2006· article· en· 日本医療マネジメント学会雑誌· Health Professions
machine prediction:candidate · noneconsensus · none
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Cohort builder
4,299,418 works, Canadian by any of four routes.
Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.
The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 1 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 1 of 1 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.