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Open local Choice, Noul, and Score model with public weights, training code, and a System One-shaped API. Benchmark comparisons are author-reported: its README gives a 91.23% accuracy headline without a matching result artifact in the repo, while its 49-task table reports 71.5% macro accuracy.
Independent calibration measurement of Jev on two labelled datasets, Banking77 and Web of Science, with a Jev to frontier cascade priced per row from measured tokens, now also packaged as an installable tool (pip install janus-decide) that measures a threshold on your own data and ships none by default; the protocol was frozen before any result and the raw JSONL and figures are committed, and no routing parameter transferred between the two datasets, as the optimal threshold, the sign of the accuracy gap between the two models, and whether routing paid for itself all changed; the Web of Science labels come from publication metadata rather than per-document annotation, so part of the error measured there is label ambiguity.
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