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The pain switch

2015· article· en· W1028033013 on OpenAlexafffundabout
Karen D. Davis, Aaron Kucyi, Massieh Moayedi

Bibliographic record

VenuePain · 2015
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsLibrary scienceWeb siteMedicineUniversity hospitalFamily medicineThe InternetComputer science

Abstract

fetched live from OpenAlex

aDivision of Brain, Imaging & Behaviour Systems, Toronto Western Research Institute, Toronto, ON, Canada bDepartment of Surgery and Institute of Medical Science, University of Toronto, Toronto, ON, Canada cDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA dDepartment of Psychiatry, Massachusetts General Hospital, Charlestown, MA, USA eDepartment of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom Corresponding author. Address: Toronto Western Hospital, Toronto Western Research Institute, 399 Bathurst St, Room MP14-306, Toronto, ON M5T 2S8, Canada. Tel.: (416) 603-5662. E-mail address: [email protected] (K. D. Davis). Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.painjournalonline.com). Received April 25, 2015 Received in revised form July 10, 2015 Accepted July 14, 2015

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)0.008
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
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 head0.035
GPT teacher head0.282
Teacher spread0.247 · 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 designNot applicable
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

Citations35
Published2015
Admission routes3
Has abstractyes

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