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Front Matter

2021· paratext· en· W4231178288 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersInstituto Superior TécnicoInstitute for Infocomm ResearchUniversity of California, San DiegoSamsungBritish University in EgyptSorbonne UniversitéKoç ÜniversitesiUniversité de Reims Champagne-ArdenneUniversitat Politècnica de CatalunyaIndian Statistical InstituteUniversité Lumière Lyon 2Université de NantesGeorgia Institute of TechnologyUniversidade Federal do Rio de JaneiroInstituto de TelecomunicaçõesUniversity of South CarolinaPeking UniversityUniversity of MiamiMitsubishi Electric Research LaboratoriesUniversidad Rey Juan CarlosUniversità degli Studi di BresciaUniversity of AlbertaKorea Advanced Institute of Science and TechnologyNorthwestern UniversityUniversidad Nacional de ColombiaTrakya ÜniversitesiAristotle University of ThessalonikiSkolkovo Institute of Science and TechnologyUniversità degli Studi di PadovaMittuniversitetetUniversitat de BarcelonaCentre National de la Recherche ScientifiqueUniversità degli Studi di GenovaRamaiah Institute Of TechnologyVrije Universiteit BrusselUniversità degli Studi di MilanoUniversität SalzburgUniversiteit GentCollege of Engineering, Michigan State UniversityDanmarks Tekniske UniversitetHong Kong Polytechnic UniversityUniversity of MissouriTsinghua UniversityAarhus UniversitetTongji UniversityCochin University of Science and TechnologyIFP Energies NouvellesBeijing University of TechnologyConcordia UniversityTechnion-Israel Institute of TechnologyUtah State UniversityAustralian GovernmentChung-Ang UniversityInstitut national de recherche en informatique et en automatique (INRIA)Southeast UniversityUniversidad de GranadaUniversity of MelbourneUniversidad de Costa RicaEge ÜniversitesiDeakin UniversityUniversity of Technology SydneyHeriot-Watt UniversityUniversity of New South WalesInstitut National de la Santé et de la Recherche MédicaleLoughborough UniversityUniversitetet i StavangerTechnische Universität BraunschweigSight Research UKUniversità degli Studi di CagliariRensselaer Polytechnic InstituteUniversità degli Studi Roma TrePolitecnico di TorinoUniversity of RochesterUniversity of Alaska AnchorageUniversidad de SevillaNational Institute of InformaticsUniversity of WollongongUniversity of South FloridaFlorida State UniversityUniversidade de CoimbraLinköpings UniversitetUniversità degli Studi di ParmaQueen's UniversityNanyang Technological UniversityUniversité Bretagne SudUniversity of Notre DameUniversity of IoanninaMasarykova UniverzitaGoogleYork UniversityUniversidade de LisboaRWTH Aachen UniversityISCTE – Instituto Universitário de LisboaIndraprastha Institute of Information Technology, DelhiIndian Institute of ScienceSzegedi TudományegyetemAuburn UniversityUniversità degli Studi di TrentoUniversity at AlbanyUniversità degli Studi di UdineMichigan State UniversityUniversidade da Beira InteriorCity University of Hong KongUniversidad Politécnica de MadridState University of New YorkUniversità degli Studi di FirenzeNvidiaMassachusetts Institute of TechnologyYonsei UniversitySharif University of TechnologyFederation University AustraliaUniversity of Southern CaliforniaUniversidade de AveiroGyeongsang National UniversityPurdue UniversityJohns Hopkins UniversityNational University of SingaporeOhio State University
KeywordsFront (military)Computer scienceGeologyOceanography

Abstract

fetched live from OpenAlex

Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0100.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9390.944

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 head0.041
GPT teacher head0.207
Teacher spread0.166 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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