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Record W2326058324 · doi:10.2533/chimia.2014.449

Life Sciences HES-SO Valais/Wallis: Applied Research for Innovators

2014· article· en· W2326058324 on OpenAlexaff
Elsbeth Heinzelmann

Bibliographic record

VenueCHIMIA International Journal for Chemistry · 2014
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsBroad spectrumEmerging technologiesEngineeringEngineering ethicsComputer scienceArtificial intelligenceChemistry

Abstract

fetched live from OpenAlex

The Institute of Life Technologies at the HES-SO Valais/Wallis in Sion focuses on the areas of peptide and protein technologies, life and bioresource technologies, food and natural products and diagnostic systems. With this network of complementary areas of expertise, the institute can offer industrial partners a broad spectrum of integrated solutions.

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)0.007
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0860.044

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 head0.043
GPT teacher head0.360
Teacher spread0.317 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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