MétaCan
Menu
Back to cohort
Record W4392345581 · doi:10.1002/citp.202400315

Kleben statt schweißen

2024· article· de· W4392345581 on OpenAlexaff
Anton Wegmann

Bibliographic record

VenueCITplus · 2024
Typearticle
Languagede
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsPhysicsHumanitiesGynecologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Abstract Vibratoren oder Klopfer lösen Produktstauungen und unterstützen das Entleeren von Schüttgutbehältern. Das Nachzurüsten solcher Geräte ist insbesondere in explosionsgefährdeten Bereichen mit dem Einsatz von Schweißtechnik nur im Anlagenstillstand möglich. Hingegen reduziert der Einsatz von Klebetechnik die Stillstandzeit der Anlage und hat Vorteile beim Anbringen an dünnwandigen Behältern.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0800.017

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 head0.007
GPT teacher head0.225
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; 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 designBench or experimental
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCITplusSame topicStructural Analysis of Composite MaterialsFrench-language works237,207