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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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Transgenic Research
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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.

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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.

109 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.
109 works in the cohort · of 4,299,418page 1 of 3

Labels cover 1 of 109 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 109 of 109 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.

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
Perinatal induction of Cre recombination with tamoxifen
Benoît Lizen, Melissa A. Claus, Lucie Jeannotte, Filippo M. Rijli, Françoise Gofflot
2015· article· en· Transgenic Research· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
63
citations
affno abstractunlabeled
Genetic enhancement of Brassica napus seed quality
Abdelali Hannoufa, Bhinu Pillai, Sreekala Chellamma
2013· review· en· Transgenic Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Transgene flow to hybrid rice and its male-sterile lines
Shirong Jia, Feng Wang, Lei Shi, Qianhua Yuan, Wuge Liu, Yilong Liao +2 more
2007· article· en· Transgenic Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Removing politics from innovations that improve food security
Stuart J. Smyth, Alan McHughen, Jon Entine, Drew L. Kershen, Carl M. Ramage, Wayne A. Parrott
2021· review· en· Transgenic Research· Agricultural and Biological Sciences
machine prediction:candidate · stsconsensus · none
27
citations
afffundaboutno abstractunlabeled
Canadian regulatory aspects of gene editing technologies
Kenneth W. Ellens, Dylan Levac, Cindy Pearson, Annie Savoie, Neil Strand, Jim Louter +1 more
2019· article· en· Transgenic Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · stsconsensus · none
27
citations

How this was built: Screen · Findings · About