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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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Advanced Battery Technologies Research
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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.

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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.

1,986 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.
1,986 works in the cohort · of 4,299,418page 28 of 40

Labels cover 1 of 1,986 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 1,986 of 1,986 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.

affno abstractunlabeled
Future Prospects and Emerging Technologies
Hassan Qudrat‐Ullah
2024· book-chapter· en· ˜The œSpringer series in sustainable energy policy· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Microgrids in mission-critical applications
Suman Rath, Charalambos Konstantinou, Behnaz Papari, Christopher S. Edrington, Pudong Ge, Fei Teng
2022· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Improving HV battery efficiency by smart control systems
Eric Armengaud, Georg Macher, Can Kurtulus, Riccardo Groppo, Sven Haase, Günter Hofer +3 more
2015· article· en· Fraunhofer-Publica (Fraunhofer-Gesellschaft)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Power Conversion Interface
Matthew N. O. Sadiku, Adedamola A. Omotoso, Sarhan M. Musa Adebowale E. Shadare
2018· article· en· International Journal of Trend in Scientific Research and Development· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Data-Based Modelling for Prediction
Daniela Galatro, Stephen Dawe
2023· book-chapter· en· Synthesis lectures on mechanical engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Designs of Experiments to Optimize Li-Ion Batteries
Olivier Rynne, Matthieu Dubarry, David Lepage, Corentin Molson, Eva Nicolas, David Aymé‐Perrot +2 more
2020· article· en· ECS Meeting Abstracts· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About