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Record W1968720660 · doi:10.1159/000128081

Effect of Selective Lymphoid Ablation on Rat Cardiac Allograft Survival

2008· article· en· W1968720660 on OpenAlexaff
Mark A. Hardy, Rashid A. Fawwaz, Soji F. Oluwole, Duk I. Sung, Roman Nowygrod, K Reemtsma

Bibliographic record

VenueEuropean Surgical Research · 2008
Typearticle
Languageen
FieldMedicine
TopicOrgan and Tissue Transplantation Research
Canadian institutionsColumbia College
Fundersnot available
KeywordsImmunosuppressionMedicineHeart transplantationBone marrowMixed lymphocyte reactionMononuclear phagocyte systemLymphocyteTransplantationPathologyImmunologyImmune systemSurgery

Abstract

fetched live from OpenAlex

Palladium-109-hematoporphyrin (Pd-H) contains a β-emitting isotope which when concentrated in the reticuloendothelial system causes total lymphoid and central bone marrow ablation. There is full recovery of tissue and blood cellularity within 60 days of its administration. A sublethal dose of Pd-H with a short course of rabbit antirat lymphocyte globulin results in specific tolerance to rat heart allografts across a minor histocompabihty barrier and significant prolongation of heart allografts across a major histocompatibility difference. Specific tolerance to donor strain was demonstrated by the acceptance of Fisher skin or heart by long-term Lewis recipients carrying old Fisher hearts (over 150 days) while they rapidly rejected ACI skin or heart allografts. The systemic irradiation with Pd-H in this study is as effective in immunosuppression as 800 rad total body irradiation and leads to no animal mortality.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.398
Teacher spread0.331 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2008
Admission routes1
Has abstractyes

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