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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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CRISPR and Genetic Engineering
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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.

2,698 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.
2,698 works in the cohort · of 4,299,418page 6 of 54

Labels cover 7 of 2,698 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 2,698 of 2,698 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.

affunlabeled
Quantification of Protein Levels in Single Living Cells
Chiu‐An Lo, Ibrahim Kays, Farida Emran, Tsung-Jung Lin, Vedrana Cvetkovska, Brian E. Chen
2015· article· en· Cell Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
109
citations
affno abstractunlabeled
Targeted gene deletions in C. elegans using transposon excision
Christian Frøkjær‐Jensen, M. Wayne Davis, Gunther Hollopeter, Jon Taylor, Todd Harris, Paola Nix +5 more
2010· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
103
citations
afffundunlabeled
Editing policy to fit the genome?
Rosario Isasi, Erika Kleiderman, Bartha Maria Knoppers
2016· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
100
citations
afffundunlabeled
Benefits of genome-edited crops: expert opinion
Rim Lassoued, Diego Maximiliano Macall, Hayley Hesseln, Peter W.B. Phillips, Stuart J. Smyth
2019· article· en· Transgenic Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
100
citations
affno abstractunlabeled
Listeria Phages Induce Cas9 Degradation to Protect Lysogenic Genomes
Beatriz A. Osuna, Shweta Karambelkar, Caroline Mahendra, Kathleen A. Christie, Bianca Garcı́a, Alan R. Davidson +3 more
2020· letter· en· Cell Host & Microbe· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
94
citations
afffundunlabeled
Principles for gene drive research
Claudia Emerson, Stephanie L. James, Katherine Littler, Filippo Randazzo
2017· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
93
citations
affno abstractunlabeled
The Anti-CRISPR Story: A Battle for Survival
Karen L. Maxwell
2017· review· en· Molecular Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
Resistance to natural and synthetic gene drive systems
Tom A. R. Price, Nikolai Windbichler, Robert L. Unckless, Andreas Sutter, Jan‐Niklas Runge, Perran A. Ross +15 more
2020· review· en· Journal of Evolutionary Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
90
citations

How this was built: Screen · Findings · About