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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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International ACM SIGIR Conference on Research and Development in Information Retrieval
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

12 results · 1 filter active ·
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20162021
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
12 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 12 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 12 of 12 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Improving Query Translation for CLIR Using Statistical Models
Jianfeng Gao, Jian‐Yun Nie, Endong Xun, Jian Zhang, Ming Zhou, Changning Huang
2017· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
19
citations
affno abstractunlabeled
Klick Labs at CL-SciSumm 2018.
Gaurav Baruah, Maheedhar Kolla
2018· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Decision Sciences
distilled prediction:candidate · metaresearch+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
6
citations
affno abstractunlabeled
On Measuring Learning in Search: A Position Paper.
Luanne Freund, Samuel Dodson, Rick Kopak
2016· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
A Best Match KNN-based Approach for Large-scale Product Categorization.
Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang
2018· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
CL-SciSumm Shared Task - Team Magma.
Héctor Martínez Alonso, Raheleh Makki, Jia Gu
2018· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Learning in second-language searching
Anita Komlódi, Nadia Caidi
2016· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Entity Retrieval Docker Image for OSIRRC at SIGIR 2019.
Negar Arabzadeh
2019· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Decision Sciences
distilled prediction:candidate · metaresearch+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
University of Waterloo Docker Images for OSIRRC at SIGIR 2019.
Ryan Clancy, Zeynep Akkalyoncu Yilmaz, Ze Zhong Wu, Jimmy Lin
2019· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On the Orthogonality of Bias and Effectiveness in Ad hoc Retrieval
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri
2021· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

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