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Reject B. 160 paired units (injection 119, access_control 41; 56 repositories), both arms, two replicates each, no early stop. Canary agreement A 0.875 -> B 0.906 (CI [-0.03, +0.10], spans; B meets 0.90). Within-pair AUC A 0.815 -> B 0.741 (CI [-0.13, -0.02], against B). AUC -0.02 (against), ADVISORY recall -0.06 and precision +0.01 (span), usd per candidate A $0.0021 -> B $0.0051 (against). Priced usage A $0.68 / B $1.63; balance $16.72 -> $16.04 at the run's end (lags). Counts only; task 7.4 marked done. Co-Authored-By: Claude Fable 5.1 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
242 lines
5.6 KiB
JSON
242 lines
5.6 KiB
JSON
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"B": {
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"label": "retrieval ensemble -- k = 5 at temperature 0, each sample over a disjoint retrieved example set",
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"decision": "reject",
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"experiment": "exp-002-retrieval-ensemble",
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"hypothesis": "Drawing the k = 5 samples from five disjoint retrieved example sets at temperature 0 (a retrieval ensemble) makes the decision more repeatable than five temperature samples over one example set, without hurting the ranking within a candidate pair, at no higher cost per candidate.\n",
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"looks": [
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"primary": [
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"name": "canary_agreement",
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"target": 0.9
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"name": "within_pair_auc"
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}
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],
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"reason": "the CI of within_pair_auc excludes 0 against B",
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"name": "usd_per_candidate"
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"name": "advisory_precision"
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