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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.

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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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Bayesian Modeling and Causal Inference
Retraction
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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
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aboutaboutness

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

961 results · 1 filter active ·
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20002025
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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.
961 works in the cohort · of 4,299,418page 19 of 20

Labels cover 2 of 961 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 961 of 961 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Applications of Causal Inference
А. И. Лещенко
2024· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Combinatorial Approach to Causal Inference
Thomas C. Fraser
2019· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Applications of Causal Inference
А. И. Лещенко
2024· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bayes’ Theorem
Jacques Balayla
2024· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Stable Matching with Contingent Priorities
Ignacio Ríos, Federico Bobbio, Margarida Carvalho, Alfredo Torrico
2025· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Statistical Relational Learning
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A Surprise-based Qualitative Calculus
Zina Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Weak Feller property of non-linear filters
Ali̇ Devran Kara, Naci Saldı, Serdar Yüksel
2019· preprint· en· Systems & Control Letters· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Bayesian Networks
2014· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
When is a Program an Actual Cause
Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski
2021· article· en· International Conference on Lightning Protection· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Knowledge typology for imprecise probabilities.
George D. Wilson, Leslie Zucker
2002· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Approximability of Propositional Model Counting
Diptarka Chakraborty, Lawqueen Kanesh, Kuldeep S. Meel
2025· preprint· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · research_integrityconsensus · none
0
citations
affno abstractunlabeled
Relational Network Classification
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Learning NAT-Modeled Bayesian Networks from Data.
Yang Xiang, Wang Qian
2020· article· en· The Florida AI Research Society· Computer Science
distilled prediction:candidate · open_science+research_integrityconsensus · none
0
citations
affunlabeled
Measuring belief-dependent preferences without data on beliefs
Alexander Sebald, Charles Bellemare
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
0
citations
affno abstractunlabeled
Bayesian Networks
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
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