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Record W6949456227 · doi:10.5281/zenodo.13744512

VITALISE D8.1 First Interim report on Transnational Access 1

2023· article· en· W6949456227 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsMcGill University
FundersEuropean Commission
KeywordsInterimWork (physics)Context (archaeology)Snapshot (computer storage)Information system

Abstract

fetched live from OpenAlex

This document aims to present an overview of the Transnational Access (TA) activities conducted in Work Package 8 (WP8) ΤΑ1 - TA to Living Lab infrastructures for rehabilitation as part of the VITALISE project. This first interim report encompasses six (6) research infrastructures that participated in the context of this work package, presenting information for both completed TA activities and also for the upcoming TA activities scheduled for the project's final phase. In particular, the report includes comprehensive information for each of the participating research infrastructures. For completed TA activities, it provides a summary of every research project, the activities performed, the outcomes achieved, and any notable findings or advancements made. In addition, the report for the completed TA activities includes also some information regarding the effort and hours spent from the several professionals of the LL personnel for supporting the execution of each TA activity, both in person and remotely, as well as a summary of the researchers’ TA evaluation and potential opportunities for future collaboration and common publications. This information showcases the value and impact of the TA program on the overall project objectives. Additionally, the document outlines the upcoming TA activities that are going to be carried out during the project's final phase. It includes details such as the planned research objectives, anticipated benefits, and expected outcomes. These planned TA activities represent the project's ongoing commitment to exploring new avenues of research and maximizing the potential of Living Lab infrastructures. As it is the first interim report, this document offers a snapshot of the collaborative efforts and achievements within WP8's TA1. It signifies the project's progress towards fostering innovation, knowledge exchange, and interdisciplinary research in the realm of rehabilitation. This report serves as a valuable resource for stakeholders, researchers, and policymakers, providing insights into the project's TA outcomes and setting the stage for the comprehensive final report due in Month 36.

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)0.026
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.147
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0110.004
Open science0.0030.010
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1470.072

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 head0.102
GPT teacher head0.272
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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