rewirebio.iobenchmarks
Configuration

TREC 2020 PM run damoespcbh3 (ALIBABA)

Submitted run as evaluated by the track.

1 evaluation · 2 results

Overview

Submitted run as evaluated by the track.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

1 evaluation · 2 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: TREC 2020 PM run damoespcbh3 (ALIBABA)Protocol: TREC 2020 PM Phase 2: evidence-tier-weighted ranking of retrieved abstracts
Dataset: TREC 2020 Precision Medicine: 40 cancer-gene-treatment topics over a 2019 MEDLINE baseline snapshot
0.452 ndcg
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

damoespcbh3 (ALIBABA), TREC 2020 PM Phase 2

egfrnsclc-20261009-protocol-trec2020-pm-phase2-evidence

Aggregation: Not reported

Overview of the TREC 2020 Precision Medicine Track; NIST TREC Browser, Precision Medicine 2020 runs page · Overview Table 6 (PDF page 9), block 'exp-gains', row 1: team 'ALIBABA', run 'damoespcbh3'
Configuration: TREC 2020 PM run damoespcbh3 (ALIBABA)Protocol: TREC 2020 PM Phase 2: evidence-tier-weighted ranking of retrieved abstracts
Dataset: TREC 2020 Precision Medicine: 40 cancer-gene-treatment topics over a 2019 MEDLINE baseline snapshot
0.478 ndcg
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

damoespcbh3 (ALIBABA), TREC 2020 PM Phase 2

egfrnsclc-20261009-protocol-trec2020-pm-phase2-evidence

Aggregation: Not reported

Overview of the TREC 2020 Precision Medicine Track; NIST TREC Browser, Precision Medicine 2020 runs page · Overview Table 6 (PDF page 9), block 'std-gains', row 1: team 'ALIBABA', run 'damoespcbh3'

Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.

Use this model

How it works, versions and access
Strengths, limitations and unresolved questions

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
Property and statementOriginal source and locationReview and provenance

No evidence rows match these filters. Choose another scope or clear the search.

Sources and history

Release 2026-10-09-ba02f2f4a36e · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: egfrnsclc-20261009-config-trec2020-pm-damoespcbh3

areas
dna-genomes
contexts
clinical_research
method types
supervised_machine_learning
reported name
damoespcbh3
foundation model eligible
false
source locator
Overview Tables 5-6; TREC browser runs page, run damoespcbh3
missing metadata
version: reason: inapplicable; note: A submitted run is a fixed artifact; its MD5 is recorded where listed
parameters
Run type: manual. Run description as submitted: We expand each topic with field synonyms from Genetics Home Reference and use ElasticSearch to retrieve relevant PubMed documents. We utilize features including the ElasticSearch score, publication type, publication citation count, pre-trained BioBERT prediction and human-in-the-loop active learning with BioBERT to re-rank the retrieved documents. We pre-train BioBERT by previous data of previous TREC PM challenges. We use private annotations of relevance in the active learning process.
limitations
Manual run: human input in query formulation or relevance feedback (TREC browser run type).
model identity note
Run provenance: run_id damoespcbh3; run_file_md5 f1c0bb04af5eb1cf68f2f17547bf98d8; listed_in TREC browser runs page
Related records

Suggest a correction