Improve dynamic question learning loop

docs/dynamic-question-quality.md

@@ -11,6 +11,24 @@ Effective ability begins as an equal blend of overall and category question-bank
 Elo, then shifts toward dynamic objective Elo up to an 80% objective weight after
 10 attempts. Aggregate outcomes calibrate each case family's Elo over time.
 
+Quality-standard-4 blueprints add Step 3 coverage and lifecycle metadata. They
+must declare the organ system, physician task, encounter frame, site of care,
+tested concepts, medical reviewer, review date, and review expiration. Every
+distractor must identify the misconception it represents. An expired medical
+review prevents publication.
+
+## Adaptive learning loop
+
+New questions are chosen using a 50/30/20 policy:
+
+- 50% scheduled concept reviews, when any are due.
+- 30% underexposed blueprint areas, adjusted by `blueprintWeight`.
+- 20% interleaved maintenance from the learner's weakest objectives.
+
+Incorrect answers enter concept review; skips and correct first attempts do not.
+Reviews use a freshly generated variant at 1, 3, 7, 21, and 45 days. An
+incorrect review resets the interval to one day.
+
 ## Content requirements
 
 - At least three curated case families per objective.
@@ -20,6 +38,8 @@ Elo, then shifts toward dynamic objective Elo up to an 80% objective weight afte
 - A complete explanation, key takeaway, USMLE pearl, review follow-up, and
   wrong-answer remediation.
 - At least one authoritative reference.
+- Quality-standard-4 content includes misconception IDs and current medical
+  review metadata.
 
 Promotion validates 10,000 seeds for every quality-standard-2 blueprint. Existing
 blueprint versions are immutable; content changes require a version increment.
@@ -37,7 +57,7 @@ dotnet QuestionsApi.dll export-dynamic-review \
 
 Keep `answer-key.json` separate from `review-packet.json`. Two clinical reviewers
 score realism, distractor quality, explanation quality, and Step 3 relevance from
-1–5 and predict whether each item is authored or dynamic.
+1-5 and predict whether each item is authored or dynamic.
 
 The pilot passes when there are no critical medical or ambiguity findings, every
 dimension averages at least 4/5, and source-identification accuracy is no greater