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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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Optical measurement and interference techniques
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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.

518 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.
518 works in the cohort · of 4,299,418page 3 of 11

Labels cover 1 of 518 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 518 of 518 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
EXPERIMENTS ON CALIBRATING TILT-SHIFT LENSES FOR CLOSE-RANGE PHOTOGRAMMETRY
Erica Nocerino, Fabio Menna, Fabio Remondino, J.‐A. Beraldin, Luc Cournoyer, Greg Reain
2016· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
afffundno abstractunlabeled
Pipe radius estimation using Kinect range cameras
Mohammad Nahangi, Thomas Czerniawski, Carl T. Haas, Scott Walbridge
2018· article· en· Automation in Construction· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Roentgen single-plane photogrammetric analysis (RSPA)
Xunhua Yuan, Leif Ryd, Kylie Tanner, Lars Lidgren
2002· article· en· Journal of Bone and Joint Surgery - British Volume· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affaboutunlabeled
EXPERIMENTS ON CALIBRATING TILT-SHIFT LENSES FOR CLOSE-RANGE PHOTOGRAMMETRY
Erica Nocerino, Fabio Menna, Fabio Remondino, J.-A. Beraldin, L. Cournoyer, G. Reain
2016· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Dynamic measurements using digital image correlation
Chris A. Murray, Neil A. Hoult, W. Andy Take
2017· article· en· International Journal of Physical Modelling in Geotechnics· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Robotic acquisition of deformable models
Jochen Lang, Dinesh K. Pai, Robert J. Woodham
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Macromechanics of composite materials
B.K.O. Cheung, Jason P. Carey
2016· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About