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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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Neural Networks and Reservoir Computing
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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.

516 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.
516 works in the cohort · of 4,299,418page 3 of 11

Labels cover 0 of 516 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 516 of 516 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.

fundno affunlabeled
Testing multi-photon interference on a silicon chip
Bryn A. Bell, Guillaume Thekkadath, Renyou Ge, Xinlun Cai, Ian A. Walmsley
2019· article· en· Optics Express· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
Measuring ultrafast time-bin qudits
Frédéric Bouchard, Kent Bonsma-Fisher, Khabat Heshami, Philip J. Bustard, Duncan England, Benjamin Sussman
2023· article· en· Physical review. A/Physical review, A· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Optimal photonic indistinguishability tests in multimode networks
Niko Viggianiello, Fulvio Flamini, Marco Bentivegna, Nicolò Spagnolo, Andrea Crespi, Daniel J. Brod +3 more
2018· article· en· Virtual Community of Pathological Anatomy (University of Castilla La Mancha)· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Optical neural network quantum state tomography
Ying Zuo, Chenfeng Cao, Ningping Cao, Xuanying Lai, Bei Zeng, Shengwang Du
2022· article· en· Advanced Photonics· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Scalable Networks of Neuromorphic Photonic Integrated Circuits
Lei Xu, Thomas Ferreira de Lima, Hsuan-Tung Peng, Simon Bilodeau, Alexander N. Tait, Bhavin J. Shastri +1 more
2022· article· en· IEEE Journal of Selected Topics in Quantum Electronics· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Quantum optics on a chip
Dominic W. Berry, Howard M. Wiseman
2009· article· en· Nature Photonics· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Imperfect Quantum Photonic Neural Networks
Jacob Ewaniuk, Jacques Carolan, Bhavin J. Shastri, Nir Rotenberg
2023· article· en· Advanced Quantum Technologies· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Analog Programmable‐Photonic Computation
Andrés Macho, Daniel Pérez, José Azaña, J. Capmany
2023· article· en· Laser & Photonics Review· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Neuromorphic photonic circuit modeling in Verilog-A
Jagmeet Singh, Hugh Morison, Zhimu Guo, Bicky A. Márquez, Omid Esmaeeli, Paul R. Prucnal +3 more
2022· article· en· APL Photonics· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations

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