MétaCan
Menu
Back to cohort
Record W1833252647

ZASTOSOWANIE SIECI NEURONOWYCH DO MODELOWANIA TEMPERATURY SOLIDUS PODEUTEKTYCZNYCH STOPÓW Al-Si-Cu

2006· article· pl· W1833252647 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

VenueArchiwum Odlewnictwa · 2006
Typearticle
Languagepl
FieldEngineering
TopicInduction Heating and Inverter Technology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSolidusPhysicsMaterials scienceMetallurgy
DOInot available

Abstract

fetched live from OpenAlex

W pracy zaprezentowano metode obliczania temperatury solidus dla podeutektycznych stopow Al–Si–Cu chlodzonych z roznymi szybkościami chlodzenia za pomocą sieci neuronowych. Dla sprawdzenia poprawności modelu wyznaczającego temperature solidus w funkcji skladu chemicznego i predkości chlodzenia wykonano eksperyment laboratoryjny. Wyniki przeprowadzonego eksperymentu laboratoryjnego potwierdzają poprawności opracowanego modelu.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.008
GPT teacher head0.206
Teacher spread0.197 · 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