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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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Indoor and Outdoor Localization Technologies
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
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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.

1,429 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.
1,429 works in the cohort · of 4,299,418page 23 of 29

Labels cover 0 of 1,429 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 1,429 of 1,429 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
Physics-Informed Convolutional Neural Network for Indoor Localization
Farah Ashqar, Rakan Khoury, Caroline Wood, Yi‐Hsuan Yeh, Aristeidis Seretis, Costas D. Sarris
2021· article· en· 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Ambiguity resolution in RSS-based emitter geolocation
Sichun Wang, Robert Inkol, Brad R. Jackson, Shanzeng Guo
2013· article· en· 2013 International Conference on Computing, Networking and Communications (ICNC)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
DISCOVERING CLUSTERING PATTERNS FROM E-COUNTER DATA STREAMS
Nasrin Eshraghi Ivari, M. Wachowicz, Patricia Williams, T. Agnew
2022· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Indoor Localization Based on Bluetooth
Jun Yin
2019· article· en· Artificial Intelligence Research· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Shuriken
Adiyan Mujibiya
2015· article· en· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
RFID Smart Shelf
Yu. B. Gimpilevich, Y. P. Mickhayluck, А. А. Савочкин, A.A. Schekaturin, V.M. Iskiv, A.V. Lukyanchikov +1 more
2018· article· en· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Deep Open Space Segmentation using Automotive Radar
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganière +2 more
2020· preprint· en· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About