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Record W4411656782 · doi:10.1155/av/7990876

The Possible Mechanistic Basis of Individual Susceptibility to Spike Protein Injury

2025· review· en· W4411656782 on OpenAlex
Matthew Halma, Paola Vottero, James A. Thorp, Tina Peers, Jack A. Tuszyński, Paul E. Marik

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Virology · 2025
Typereview
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSpike (software development)VaccinationMedicineSpike ProteinNeuroscienceCoronavirus disease 2019 (COVID-19)ImmunologyBiologyDiseasePathologyComputer scienceInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Injury from spike protein, whether induced by COVID-19 infection or vaccination, constitutes a significant health concern for numerous individuals. Considerable heterogeneity exists in individual responses to both COVID-19 infection and vaccination, despite the latter being principally more controlled and consistent than the wide variety of infection circumstances. This review explores the possible mechanisms by which the spike protein contributes to cellular and systemic damage, highlighting the importance of understanding these processes for developing effective diagnostics and treatments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.425
Teacher spread0.386 · 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