Evaluate frozen relevance hypothesis once on held-out Google CPU queries
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@@ -1,10 +1,11 @@
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# Calibration-only relevance diagnostic
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# Frozen relevance diagnostic
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This internal runner uses searchi's shared Rust engine and genuine Google
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EmbeddingGemma 2. It has **no held-out execution option**. It indexes all 14 frozen
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source files as the fixed distractor library, but evaluates only the 24
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calibration queries. Held-out queries stay unevaluated until a policy and its
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parameters are frozen using calibration evidence.
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EmbeddingGemma 2. By default it indexes all 14 frozen source files as the fixed
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distractor library and evaluates only the 24 calibration queries. Held-out
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execution requires `--held-out-policy` with the exact SHA-256 of the hypothesis
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frozen in commit `e7245fe`, before held-out inference. Changed policy bytes are
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rejected. The two splits are selected independently and never mixed in one run.
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First verify all frozen labels, source bytes, licenses and split integrity:
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@@ -21,6 +22,14 @@ $env:SEARCHI_FORCE_CPU = '1'
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tools/relevance-eval/target/release/searchi-relevance-eval.exe fixtures/relevance-v2 C:/path/to/verified-models C:/path/to/searchi-gemma-worker.exe .searchi/qa/calibration-v2.json
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```
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For the one frozen held-out evaluation, append
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`--held-out-policy tools/relevance-eval/policies/cosine-v1.json` and use a new
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held-out report name. Raw lexical, semantic and production hybrid results are
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retained. `scores.hypothesis_semantic` evaluates raw semantic candidates after
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the frozen cutoff; it is not a newly executed filtered hybrid fusion. This
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diagnostic does not deploy a threshold into the shared engine. Do not retune
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this policy using the held-out outcomes.
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Supply an existing output directory and a new output filename. Existing evidence
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is never overwritten: the output is reserved with `create_new` before costly
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work and subsequent phase/row checkpoints replace JSON atomically. The runner verifies fixture SHA-256, exact source bytes,
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