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Record W6892485037 · doi:10.5279/dk-sa-dda-24190

Scandiatransplant Venteliste (DNSL), 1994-2007

2018· dataset· da· W6892485037 on OpenAlexaboutno aff

Bibliographic record

VenueThe Danish National Archives · 2018
Typedataset
Languageda
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TransplantationPeriod (music)

Abstract

fetched live from OpenAlex

Scandiatransplant er en nordisk organudvekslingsorganisation og omfatter en befolkning på 24,5 millioner indbyggere i fem lande, Danmark (5,4 millioner), Finland (5,2 millioner), Island (0,3 millioner), Norge (4,6 millioner) og Sverige (9,0 millioner) . Scandiatransplant omfatter idag et samarbejde med alle 12 nordiske transplantationcentre og de otte immunologi laboratorier. Ifølge vedtægterne er formålet med Scandiatransplant foreningen firedelt: (1) Scandiatransplant skal foretage udveksling af organer og væv mellem de deltagende transplantation centre; (2) Det skal operere en database og meddele oplysninger fra det; (3) Det skal bidrage til at fremme levering af menneskelige organer og væv til transplantation; (4) Det støtter videnskabelige aktiviteter. Medlemmerne af Scandiatransplant foreningen er hospitaler hver med et aktivt program for organtransplantation. Scandiatransplant er placeret på Universitetshospitalet Skejby i Århus, Danmark.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0040.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.037

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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueThe Danish National ArchivesFrench-language works237,207