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REVIEW ARTICLE: Immunological Factors in Pregnancy Wastage: Fact or Fiction

2008· review· en· W2166089505 on OpenAlex

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

VenueAmerican Journal of Reproductive Immunology · 2008
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPregnancyImmune systemMedicineEffectorImmunologyAntibodyAspirinBiologyInternal medicine

Abstract

fetched live from OpenAlex

Whether maternal immune effector mechanisms with the exception of anti-phospholipid antibodies cause pregnancy loss, and whether effective treatment is possible are subjects of controversy. Hence, in this study the current literature was searched and critically reviewed. In both animals and humans, similar immune effector mechanisms are linked to pregnancy failure. Several levels of evidence indicate that treatments such as aspirin + heparin, intravenous immunoglobulins, corticosteroids, and transfer of allogeneic blood cells bearing paternal antigens may improve the live birth rate. Combination therapy appears promising, but better diagnosis of subgroups responsive to specific therapies is critical. There are fallacies and flaws in the logic of previous arguments against immunological mechanisms and therapeutic interventions. In order to select patients most likely to benefit from known treatments, more extensive immunological testing is required. It is also important to determine the karyotype of all failing embryos.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.046
GPT teacher head0.328
Teacher spread0.282 · 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