MétaCan
Menu
Back to cohort
Record W4316466997 · doi:10.1002/hipo.23423

Issue Information – Editorial Board

2023· paratext· en· W4316466997 on OpenAlexfundno aff

Bibliographic record

VenueHippocampus · 2023
Typeparatext
Languageen
FieldMedicine
TopicMedicinal Plants and Neuroprotection
Canadian institutionsnot available
FundersUniversity of California, IrvineUniversity of California, San FranciscoNational Institutes of HealthUniversität ZürichVanderbilt UniversityMedizinische Universität WienUniversity of California, San DiegoUniversitetet i OsloCentre National de la Recherche ScientifiqueUniversitat de BarcelonaUniversity of TokyoJohannes Gutenberg-Universität MainzMagyar Tudományos AkadémiaUniversity College LondonAlbert-Ludwigs-Universität FreiburgUniversity of TorontoNorthwestern UniversitySeoul National UniversityUniversidad de Buenos AiresUniversiteit van AmsterdamConcordia UniversityTrinity College DublinUniversity of EdinburghWeizmann Institute of ScienceUniversity of BathMorehouse School of MedicineUniversity of OxfordUniversity of MinnesotaUniversidad del AtlánticoSUNY Downstate Medical CenterDurham UniversityYork UniversityFlorida Atlantic UniversityDartmouth CollegeUniversity of OtagoUniversity of California, Los AngelesUniversity of WashingtonFeinberg School of MedicineUniversity of LethbridgeAarhus UniversitetState University of New YorkAix-Marseille UniversitéUniversity of BristolWake Forest UniversityBrown UniversityMassachusetts Institute of TechnologyUniversität WienEmory UniversityUniversity of Pennsylvania
KeywordsEditorial boardCitationComputer scienceInformation retrievalLibrary scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Wiley's Corporate Citizenship initiative seeks to address the environmental, social, economic, and ethical challenges faced in our business and which are important to our diverse stakeholder groups.Since launching the initiative, we have focused on sharing our content with those in need, enhancing community philanthropy, reducing our carbon impact, creating global guidelines and best practices for paper use, establishing a vendor code of ethics, and engaging our colleagues and other stakeholders in our efforts.Follow our progress at www.

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)0.005
metaresearch head score (Gemma)0.031
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.443
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.003
Science and technology studies0.0040.001
Scholarly communication0.0150.006
Open science0.0030.002
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.5570.515

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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
GenreEditorial

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHippocampusSame topicMedicinal Plants and NeuroprotectionFrench-language works237,207