CPPC submitted-method nomination campaign
Pooled top nominations from winning Challenge-1 methods; selection pipeline, not an individual model. Two state-objective hits are reported.
Overview
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Evaluations and results
1 evaluation · 1 result. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: CPPC submitted-method nomination campaign | Protocol: CPPC prospective nomination of desired T-cell states Dataset: CPPC B16-OVA mouse melanoma T-cell perturbation screens | two Count (nominated targets reaching desired state) count · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNot reported Aggregation: Not reported Cancer Immunotherapy Data Science Challenge · Abstract; Results Figure 5: Dimt1 and Ndufv2 exceed Screen-1 targets on ICB objective |
Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
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How it works, versions and access
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Evidence
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Evidence table
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Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
2 source records and release history
- Cancer Immunotherapy Data Science Challenge · Original source · 10.64898/2026.05.21.726863v1; 2026 preprint
- Cancer Immunotherapy Data Science Challenge official code · Original source · 283328a9b8afc6e882eeb503ac4710bbe9f37371
Technical metadata and extraction receipts
Stable ID: ucc-research-config-cppc-pooled-nominations
- review
- method: automated-source-review; reviewed at: 2026-09-30T21:43:56Z; note: Primary-source table transcription and scope review; no independent reproduction or human scientific review.; reviewer note: role: research coverage worker; reviewer: codex
- selection
- ICB/CAR-T objectives on predicted cell-state proportions
Related records
- system: cppc nominated target outcome