MétaCan
Menu
Back to cohort
Record W7025259569

Tribologische und werkstoffanalytische Charakterisierung an mittels Elektronen-strahl randschichtbehandelten Aluminiumlegierungen

2012· dissertation· de· W7025259569 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMOnAMi (Hochschule Mittweida Hochschulbibliothek) · 2012
Typedissertation
Languagede
FieldComputer Science
TopicImage and Object Detection Techniques
Canadian institutionsMitel (Canada)
Fundersnot available
KeywordsDie (integrated circuit)Coefficient of frictionLimitingContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Die vorliegende Arbeit beschäftigt sich mit Verschleißuntersuchungen an mittels Elektronenstrahl randschichtbehandelten Aluminiumlegierungen. Es werden in dieser Arbeit wichtige Grundlagen auf dem Gebiet der Tribologie und des Verschleißes erklärt. Auch wird auf die Behandlung mit dem Elektronenstrahl eingegangen. Zu den durchgeführten Charakterisierungsmethoden werden die entsprechenden Vorgehensweisen und Hilfsmittel beschrieben. Die Ergebnisse der verschiedenen Charakterisierungsmethoden werden für jeden Probekörper dargestellt. Die gewonnenen Ergebnisse werden ausgewertet und untereinander verglichen. Die Proben werden zum einen auf den Einfluss verschiedener Behandlungsmethoden untersucht und zum anderen auf unterschiedlich dicke Randschichten.

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.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0110.012
Science and technology studies0.0030.001
Scholarly communication0.0040.008
Open science0.0080.001
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0020.004

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 head0.021
GPT teacher head0.311
Teacher spread0.289 · 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