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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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Gene Regulatory Network Analysis
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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.

965 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.
965 works in the cohort · of 4,299,418page 2 of 20

Labels cover 1 of 965 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 965 of 965 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
Tracking the emergence of synthetic biology
Philip Shapira, Seokbeom Kwon, Jan Youtie
2017· article· en· Scientometrics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
109
citations
afffundno abstractunlabeled
Self-organization and entropy reduction in a living cell
P. C. W. Davies, Elisabeth Rieper, Jack A. Tuszyński
2012· article· en· Biosystems· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
106
citations
afffundunlabeled
Cancer as a dynamical phase transition
Paul Davies, Lloyd Demetrius, Jack A. Tuszyński
2011· article· en· Theoretical Biology and Medical Modelling· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
104
citations
fundno affunlabeled
Dynamical compensation in physiological circuits
Omer Karin, Avital Swisa, Benjamin Gläser, Yuval Dor, Uri Alon
2016· article· en· Molecular Systems Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
103
citations
affunlabeled
Noise-Driven Stem Cell and Progenitor Population Dynamics
Martin Hoffmann, Hannah Chang, Sui Huang, Donald E. Ingber, Markus Loeffler, Joerg Galle
2008· article· en· PLoS ONE· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
102
citations
affno abstractunlabeled
Origin of Bistability in the lac Operon
Moisés Santillán, Michael C. Mackey, E. S. Zeron
2007· article· en· Biophysical Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
101
citations
affunlabeled
Role of network-mediated stochasticity in mammalian drug resistance
Kevin S. Farquhar, Daniel A. Charlebois, Mariola Szenk, Joseph Cohen, Dmitry Nevozhay, Gábor Balázsi
2019· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
100
citations
affunlabeled
Theory, models and biology
Wenying Shou, Carl T. Bergstrom, Arup K. Chakraborty, Frances K. Skinner
2015· editorial· en· eLife· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
95
citations
afffundunlabeled
Combinatorial explosion in model gene networks
Roderick Edwards, Leon Glass
2000· article· en· Chaos An Interdisciplinary Journal of Nonlinear Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
94
citations
affunlabeled
Modeling cell population dynamics
Daniel A. Charlebois, Gábor Balázsi
2018· article· en· In Silico Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Dynamics and bistability in a reduced model of the <i>lac</i> operon
Necmettin Yıldırım, Moisés Santillán, Daisuke Horike, Michael C. Mackey
2004· article· en· Chaos An Interdisciplinary Journal of Nonlinear Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
90
citations
affunlabeled
From simple to detailed models for cell polarization
Leah Edelstein‐Keshet, William R. Holmes, Mark Zajac, Meghan Dutot
2013· review· en· Philosophical Transactions of the Royal Society B Biological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
89
citations
afffundunlabeled
Symbolic dynamics and computation in model gene networks
Roderick Edwards, Hava T. Siegelmann, K. Aziza, Leon Glass
2001· article· en· Chaos An Interdisciplinary Journal of Nonlinear Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Sharing Structure and Function in Biological Design with SBOL 2.0
Nicholas Roehner, Jacob Beal, Kevin Clancy, Bryan Bartley, Göksel Mısırlı, Raik Grünberg +13 more
2016· article· en· ACS Synthetic Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
86
citations
afffundno abstractunlabeled
A Fluctuation Method to Quantify In Vivo Fluorescence Data
Nitzan Rosenfeld, Theodore J. Perkins, Uri Alon, Michael B. Elowitz, Peter S. Swain
2006· article· en· Biophysical Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
80
citations

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