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Record W4237454037 · doi:10.1111/sdi.12539

Issue Information

2017· paratext· en· W4237454037 on OpenAlexaboutno aff

Bibliographic record

VenueSeminars in Dialysis · 2017
Typeparatext
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsCitationMedicineInformation retrievalLibrary scienceWorld Wide WebComputer science

Abstract

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Seminars in Dialysis is published in 6 issues per year.Institutional subscription prices for 2017 are: Print & Online: US$1,052 (The Americas, excluding Canada and Mexico), US$1,102 (Canada and Mexico), US$1,594 (Rest of World), €1,034 (Europe), £816 (UK).Personal subscription prices for 2017 are: Print & Online: US$297 (The Americas, excluding Canada and Mexico), US$325 (Canada and Mexico), US$252 (Rest of World), €376 (Europe), £252 (UK).Prices are exclusive of tax.Asia-Pacifi c GST, Canadian GST/HST and European VAT will be applied at the appropriate rates.For more information on current tax rates, please go to www.wileyonlinelibrary.com/tax-vat.The price includes online access to the current and all online backfi les to January 1st 2013, where available.For other pricing options, including access information and terms and conditions,

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0080.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8860.871

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 head0.010
GPT teacher head0.288
Teacher spread0.278 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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