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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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AI-based Problem Solving and Planning
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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
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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.

618 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
618 works in the cohort · of 4,299,418page 10 of 13

Labels cover 1 of 618 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 618 of 618 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affaboutunlabeled
RISK PREDICTION FOR MODERN TECHNOLOGICAL SYSTEMS
B Duffey Romney, W Saull John
2008· article· en· Journal of Polish Safety and Reliability Association· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ver Capone (2020) Pelicula Completa En Castellano wgd
2020· article· es· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Reasoning with Goal Models
Paolo Giorgini, Roberto Sebastiani
2002· article· en· Unitn Eprints Research (Università Degli Studi di Trento)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Smith, Larratt Wm. (1820-ca. 1900)
2014· article· en· eYLS (Yale Law School)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Expansion of Habitual Domains and DMCS
Moussa Larbani, Po-Lung Yu
2016· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Integrative Procedure Learning
Ben Goertzel, Cassio Pennachin, Nil Geisweiller
2014· book-chapter· en· Atlantis thinking machines· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Planning with Epistemic Preferences
Toryn Q. Klassen, Christian Muise, Sheila A. McIlraith
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AIware in the Foundation Model Era
Zhen Ming Jiang, Ahmed E. Hassan, Thomas Zimmermann, Mark Harman
2025· article· IEEE Software· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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