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Record W7149880878

Innovators’ triumph

2013· article· ru· W7149880878 on OpenAlexaff
Tatiana Yakovlevna Teslya, Tatiana Igorevna Spiridonova

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageru
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsBrandon University
Fundersnot available
KeywordsNominationCompetitor analysisExhibitionCompetition (biology)Event (particle physics)Front (military)
DOInot available

Abstract

fetched live from OpenAlex

"Innovations in Construction 2013" were summed up the annual competition on 9 September 2013. The event took place in the run-up to the large-scale International building Exhibitions BalticBuild and ExpoClimate. Total number of competitors was 34 innovative products. Two participants achieved 1 st class Diploma: the Innovative Technologies company in the nomination "Materials for Underground Constructions" for waterproofing material "Dorflex" and “Alkotek” company in the nomination "The Best Example of Introduction of Innovative Technologies" for mineral and composite front MRC panels. In summary, development was presented in the Innovation Showroom within the International BalticBuild and ExpoClimate Exhibitions.

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)0.017
metaresearch head score (Gemma)0.017
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.008
Scholarly communication0.0170.013
Open science0.0020.015
Research integrity0.0090.014
Insufficient payload (model declined to judge)0.0520.011

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 head0.188
GPT teacher head0.509
Teacher spread0.321 · 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
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
Published2013
Admission routes1
Has abstractyes

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