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Record W4386585926 · doi:10.1002/ana.25528

Issue Information

2019· paratext· en· W4386585926 on OpenAlexaboutno aff
Steven M. Greenberg, Kenneth M. Heilman, Argye E. Hillis, Gregory L. Holmes, David Holtzman, St Louis, Fernando L. García-Gil de Muñoz, David R. Silva, Richard Mayeux, New York, Mohamad A. Mikati, Pushpa Narayanaswami, Phillip L. Pearl, Annapurna Poduri, Ron Postuma, Rajiv R. Ratan, Kathrin Reetz, Mustafa Şahin, Geneva Switzerland, David G. Standaert, Al Tanner, San Francisco, Ken Tyler, Veronique Van Der Horst, M Angelavincent

Bibliographic record

VenueAnnals of Neurology · 2019
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiotin and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnnalsCitationComputer scienceInformation retrievalLibrary scienceHistoryClassics

Abstract

fetched live from OpenAlex

Canada & Mexico), €1234.00(Europe), £979.00 (UK), US$1914.00 (Rest of World).Prices are exclusive of tax.Asia-Pacific GST,

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score0.995

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.006

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 head0.019
GPT teacher head0.295
Teacher spread0.276 · 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.

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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