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Record W7021103850

2nd International Conference on Advances and Trends in Engineering Materials and their Applications (AES-ATEMA 2008). Cesena, Italy. 1-5 Settembre 2008

2008· other· en· W7021103850 on OpenAlexaboutno aff

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCeramicArchitectureSmart materialDetectorHybrid material
DOInot available

Abstract

fetched live from OpenAlex

Following the outstanding success of AES-ATEMA’ 2007 First International Conference that was held in Montreal (Canada), AES-ATEMA’ 2008 Second International Conference (Cesena, Italy: \nSeptember 1 -5, 2008) will continue to address important topics pertinent to advances and trends in engineering materials and their applications. Topics: \n· Nano- and micro-technology \n· Nano materials and systems \n· Applications of micro and nano-engineering \n· Nano and micromechanics \n· Interfaces and nanostructures \n· Advanced composite materials and structures \n· Hybrid materials and systems \n· Intelligent materials, adaptive and active structures, and their applications \n· Micro-electro mechanical systems and devices \n· Sensor and detector materials \n· Smart micro- and nano-electronic devices and systems \n· Films and membranes \n· Transport structure relations in fast ion and mixed conductors \n· Static, quasi-static and dynamic behavior \n· Inhomogeneous and discrete systems \n· Micro- , meso- and macro-mechanics \n· Materials under severe loading conditions \n· Mechanical and physical characterization \n· Concrete structures \n· Ceramic and non-metallic materials \n· Polymer matrix composites \n· Hybrid composites \n· Composite materials for infrastructure and non-conventional applications \n· Pavement materials and technology \n· Geologic materials \n· Advances in Architecture (materials and pertinent technologies)

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.171
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1710.097

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 head0.015
GPT teacher head0.233
Teacher spread0.217 · 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
Published2008
Admission routes1
Has abstractyes

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