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Record W2128170837 · doi:10.1097/mot.0b013e328334fedb

History of the Banff classification of allograft pathology as it approaches its 20th year

2010· review· en· W2128170837 on OpenAlex
Kim Solez

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

VenueCurrent Opinion in Organ Transplantation · 2010
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineTransplantationClinical trialYardstickDiseaseIntensive care medicineMEDLINEPathologySurgeryBiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To revisit the history and main defining characteristics of the Banff classification. RECENT FINDINGS: From small beginnings in 1991 the Banff classification of renal allograft pathology has grown to be the major standard setting force in renal transplant pathology and in international clinical trials of new antirejection agents. The meeting and classification has unique history, consensus generation mechanisms, funding, and tradition, and looks poised to continue for at least another 20 years. The Banff meetings also deal with setting standards for most other areas of solid organ transplantation and increasingly incorporate training courses and working groups so the activity never stops. SUMMARY: The Banff meeting has gone from being just another meeting to becoming the embodiment of the global standard, The Banff Classification, by which we determine the presence of rejection and other important disease conditions in the transplanted organ. It is crucial for patient care and crucial for clinical trials of new therapies that it remains updated and modern, an important dynamic yardstick against which we measure clinical success.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.891
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.213
GPT teacher head0.385
Teacher spread0.173 · 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