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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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Trends in Immunology
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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.

114 results · 1 filter active ·
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20012025
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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.
114 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 114 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 114 of 114 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.

afffundno abstractunlabeled
The Intestinal Epithelium: Central Coordinator of Mucosal Immunity
Joannie M. Allaire, Shauna M. Crowley, Sun‐Young Chang, Hyun‐Jeong Ko, Bruce A. Vallance
2018· article· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
882
citations
afffundno abstractunlabeled
Neutrophil Diversity in Health and Disease
Carlos Silvestre-Roig, Zvi G. Fridlender, Michael Glogauer, Patrizia Scapini
2019· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
521
citations
afffundno abstractunlabeled
Host defense peptides: front-line immunomodulators
Sarah Mansour, Olga M. Pena, Robert E. W. Hancock
2014· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
491
citations
afffundno abstractunlabeled
The Healing Power of Neutrophils
Mia Phillipson, Paul Kubes
2019· review· en· Trends in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
369
citations
affno abstractunlabeled
CD73: a potent suppressor of antitumor immune responses
Paul A. Beavis, John Stagg, Phillip K. Darcy, Mark J. Smyth
2012· review· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
365
citations
afffundno abstractunlabeled
SeXX matters in immunity
Janet Markle, Eleanor N. Fish
2013· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
352
citations
affno abstractunlabeled
Antiviral innate immunity and stress granule responses
Koji Onomoto, Mitsutoshi Yoneyama, Gabriel Fung, Hiroki Kato, Takashi Fujita
2014· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
234
citations
fundno affno abstractunlabeled
T Cells: Warriors of SARS-CoV-2 Infection
Paola de Candia, Francesco Prattichizzo, S. Garavelli, Giuseppe Matarese
2020· review· en· Trends in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
203
citations
afffundno abstractunlabeled
Natural killer cells regulate diverse T cell responses
Sarah Q. Crome, Philipp A. Lang, Karl S. Lang, Pamela S. Ohashi
2013· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
150
citations
affno abstractunlabeled
The emergence of neurotransmitters as immune modulators
Rafael Franco, Rodrigo Pacheco, Carmen Lluís, Gerard P. Ahern, Peta J. O’Connell
2007· review· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations
afffundno abstractunlabeled
Influence of the microbiota on vaccine effectiveness
Yanet Valdez, Eric Brown, B. Brett Finlay
2014· review· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations
fundno affno abstractunlabeled
Natural killer cells: walking three paths down memory lane
Gundula Min‐Oo, Yosuke Kamimura, Deborah W. Hendricks, Tsukasa Nabekura, Lewis L. Lanier
2013· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
144
citations
affno abstractunlabeled
The yin and yang of viruses and interferons
Ben X. Wang, Eleanor N. Fish
2012· review· id· Trends in Immunology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
113
citations
affno abstractunlabeled
Clipping, shedding and RIPping keep immunity on cue
Gillian Murphy, Aditya Murthy, Rama Khokha
2008· review· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
94
citations
afffundno abstractunlabeled
TNF family ligands define niches for T cell memory
Laurent Sabbagh, Laura M. Snell, Tania H. Watts
2007· review· en· Trends in Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
82
citations

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