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    The single scoring-execution seam this action depends on — "score this scope with this model, give me the counts + predictions / write-back confirmation". The production implementation (ProductionScoreRecordSetRunner) resolves the scope into records and drives the MLModelInferenceProcessor; tests inject a deterministic fake.

    interface IScoreRecordSetRunner {
        run(request: ScoreRecordSetRequest): Promise<ScoreRecordSetResult>;
    }

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