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Record W4399833897 · doi:10.1016/j.immuni.2024.05.024

Autoantibodies inhibit Plasmodium falciparum growth and are associated with protection from clinical malaria

2024· letter· en· W4399833897 on OpenAlexaff
Kelly A. Hagadorn, Mary Peterson, Hemanta K. Kole, Bethany Scott, Jeff Skinner, Ababacar Diouf, Eizo Takashima, Aïssata Ongoïba, Safiatou Doumbo, Didier Doumtabé, Shanping Li, Padmapriya Sekar, Mei Yan, Chengsong Zhu, Hikaru Nagaoka, Bernard N. Kanoi, Quan‐Zhen Li, Carole A. Long, Eric O. Long, Kassoum Kayentao, Scott A. Jenks, Igñacio Sanz, Takafumi Tsuboi, Boubacar Traoré, Silvia Bolland, Kazutoyo Miura, Peter D. Crompton, Christine S. Hopp

Bibliographic record

VenueImmunity · 2024
Typeletter
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsInstitute of Infection and Immunity
FundersNHLBI Division of Intramural ResearchDivision of Intramural Research, National Institute of Allergy and Infectious DiseasesNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthDeutsche ForschungsgemeinschaftUnited States Agency for International Development
KeywordsMalariaPlasmodium falciparumImmunologyBiologyAutoantibodyAsymptomaticAntibodySeroprevalenceAntigenDiseaseAutoimmunityVirologySerologyInternal medicineMedicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.306
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2024
Admission routes1
Has abstractno

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