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Record W3163689632 · doi:10.1186/s12919-021-00215-6

A National Consensus Forum on improving cornea donation and transplantation access in Canada

2021· article· en· W3163689632 on OpenAlexafffundabout
Steven S. Bae, Guillermo Rocha, Christine Humphreys, Clara C. Chan, Sonia N. Yeung

Bibliographic record

VenueBMC Proceedings · 2021
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity of TorontoBank of CanadaUniversity of ManitobaUniversity of British Columbia
FundersCanadian Blood Services
KeywordsDonationTransplantationMedicineCorneaCorneal transplantationWaiting listMultidisciplinary teamOrgan donationFamily medicinePublic relationsPolitical scienceSurgeryOphthalmologyNursingLaw

Abstract

fetched live from OpenAlex

A consensus meeting was held in Toronto on February 9-10, 2020 to discuss ways to improve cornea donation and transplantation access in Canada. The meeting brought together eye and tissue bank representatives, health authority and hospital leadership, transplant ophthalmologists, organ donation organizations, transplant recipients, donor families and several national organizations. Through facilitated discussions in multidisciplinary, gender-balanced, and geographically balanced small groups, participants identified opportunities for improvement in the Canadian cornea donation and transplantation system. Discussion occurred around broad themes of donor tissue demand, supply, access, utilization, interprovincial sharing and cost recovery, interprovincial knowledge sharing and research. This event marked the first time in 10 years in which the Canadian cornea transplantation community came together.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.024
GPT teacher head0.266
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2021
Admission routes3
Has abstractyes

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