Record W4353109306 · doi:10.1061/jmcee7.mteng-15654

Reviewers

2023· article· en· W4353109306 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Materials in Civil Engineering · 2023

Typearticle

Languageen

Field

Topic

Canadian institutionsnot available

FundersUniversity of Illinois at Urbana-ChampaignUniversity of Hawai'i at MānoaUniversidad San Francisco de QuitoHohai UniversityLanzhou University of TechnologyHebei UniversitySilesian University of TechnologyNational Cheng Kung UniversityPennsylvania State UniversityIstanbul Teknik ÜniversitesiKing Mongkut's University of Technology North BangkokChinese Academy of ForestrySouth China University of TechnologyUniversidad de CantabriaRijkswaterstaatBMS College of EngineeringUniversity of TokushimaIsfahan University of TechnologyShandong UniversityPolitechnika WarszawskaSuranaree University of TechnologyTongji UniversityHunan UniversityHebei University of EngineeringUniversität WienUniversidad del NorteEge ÜniversitesiSemnan UniversityIran University of Science and TechnologyYonsei UniversityDalian University of TechnologyMissouri University of Science and TechnologyUniversity of WollongongThapar Institute of Engineering and TechnologyUniversiti Malaysia PahangUniversity of LouisvilleUniversity of TorontoHenan Polytechnic UniversityUniversity of Texas at San AntonioUniversity of AlbertaArkansas State UniversityBeijing University of Civil Engineering and ArchitectureTechnische Universität WienSzkola Glówna Gospodarstwa Wiejskiego w WarszawieKanazawa UniversityUniversity of GuilanNew Mexico State UniversityMississippi State UniversitySoutheast UniversityIndian Institute of Technology, PatnaSun Yat-sen UniversityUniversity of Hawai'iSveučilište u ZagrebuUniversity of WashingtonWuhan UniversityQueen's UniversityUniversidade de São PauloUniversidade Federal do PampaIncheon National UniversityTianjin UniversityTechnische Universität DresdenFirat ÜniversitesiUniversity of Engineering and Technology, LahoreUniversity of MiamiUniversity of Nebraska-LincolnOregon State UniversityUniversity of PennsylvaniaQingdao Technological UniversityHarbin Institute of TechnologyÉcole Normale SupérieureUniversité de StrasbourgDrexel UniversityWashington State UniversityUniversità degli Studi di Cassino e del Lazio MeridionaleVirginia Polytechnic Institute and State UniversityRMIT UniversityBeijing University of TechnologyAuburn UniversityOklahoma State UniversityUniversity of MinnesotaSouth Dakota State UniversityUniversity of DerbyHanyang UniversityU.S. Department of TransportationHebei University of TechnologyArizona State UniversityTennessee Department of TransportationMarquette UniversityUniversity of MissouriWestern Sydney UniversityNational Central UniversityChina Three Gorges UniversityBayburt ÜniversitesiLanzhou UniversityChang'an UniversityU.S. Department of AgricultureUniversity of South AfricaChongqing Jiaotong UniversityPurdue UniversityWuhan University of Technology

KeywordsMaterials science

DOI10.1061/jmcee7.mteng-15654

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007

metaresearch head score (Gemma)0.087

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesInsufficient payload (model declined to judge)

Consensus categoriesnone

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Not applicable · Consensus signal: Not applicable

GenreCandidate signal: Other · Consensus signal: none

Teacher disagreement score0.656

Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.007	0.087
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.005	0.002
Science and technology studies	0.003	0.001
Scholarly communication	0.007	0.003
Open science	0.002	0.003
Research integrity	0.004	0.003
Insufficient payload (model declined to judge)	0.344	0.188

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 head0.019

GPT teacher head0.257

Teacher spread0.238 · 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