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Record W4367191237 · doi:10.5281/zenodo.7874593

D5.3 Evaluation Criteria

2022· report· en· W4367191237 on OpenAlexaff
Panagiotis Ilias, Tuna Coppens, Tomas Orlickas, Liutauras Simkus, Sebastian Philips, Pieter Roggemans, Bojana Lendvaji Vignjevic, Svetlana Vitomirovic, George Groutas, George Farkonis

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typereport
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsCanadian Automotive Partnership Council
FundersHorizon 2020 Framework ProgrammeEuropean Commission
KeywordsComputer scienceGeography

Abstract

fetched live from OpenAlex

WP5 main objective is to deploy, test and evaluate ENVISION data products and services developed in WP3 and WP4. More specific within WP5: <strong>Products and services </strong>developed within WP3 and WP4 <strong>are used and tested under different conditions </strong>by the Business Customers (BC) and the Lighthouse customers (LC). <strong>Product and services are evaluated </strong>for each business case individually and from three different perspectives related to: o <strong>The performance, usability and effectiveness. </strong>We rate the ability of the product and services to cover PAs and CB’s identified needs using co-developed criteria within WP2 describing user requirements (functional and non). o <strong>The business value and acceptance. </strong>We evaluate product business value and acceptance for each business case, using criteria co-developed with the BC actors within the WP5 and indicators that quantify the business value and acceptance. o <strong>The impact on an economic, environmental, and societal level</strong>. Using impact indicators, we evaluate the impact at an economic, environmental, and societal level.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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: none
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1550.002

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 head0.071
GPT teacher head0.289
Teacher spread0.218 · 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; both teacher heads 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicManufacturing Process and OptimizationFrench-language works237,207