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Record W4248507868 · doi:10.32473/flairs.v34i1.128751

Committee Listings

2021· article· en· W4248507868 on OpenAlexfundno aff
Eric Bell, Fazel Keshtkar

Bibliographic record

VenueProceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersNuclear PhysicsRussian Academy of SciencesPhilips Research AmericasUniversity of North Carolina at CharlotteUniversity of Colorado BoulderSlovenská technická univerzita v BratislaveUniversity of NicosiaLomonosov Moscow State UniversityUniversity of Texas at El PasoInternational Institute for Applied Systems AnalysisTechnological University DublinNanjing UniversityAgricultural University of AthensLos Alamos National LaboratoryNational and Kapodistrian University of AthensUniversidade Federal do Rio Grande do SulCentre National de la Recherche ScientifiqueSimon Fraser UniversityUniversité de Bretagne OccidentaleRadford UniversityTsinghua UniversityUniversität WienUniversità degli Studi di Milano-BicoccaUniversité du Québec en OutaouaisUniversity College CorkIllinois State UniversityAalborg UniversitetIndiana University BloomingtonInternational Science and Technology CenterCardiff UniversityTennessee Tech UniversityOffice of Naval ResearchUniversität TrierFlorida Institute of TechnologyUniversité du Québec à Trois-RivièresMontana State UniversityUniversitetet i BergenUniversity of MiamiUniversity of Texas at ArlingtonUniversity of South CarolinaCyprus University of TechnologyUniversity of ReginaUniversity of Louisiana at LafayetteMiddlesex UniversityArmy Research LaboratoryBradley UniversityDrexel UniversityWashington State UniversityUniversidade Federal de São João del-ReiUniversity of OttawaUniversity of Maryland, Baltimore CountyDePaul UniversityKennesaw State UniversityDana-Farber/Harvard Cancer CenterUniversity of CyprusSamsungUniversity of Southern CaliforniaUniversity of MemphisUniversity of ManchesterUniversity of HartfordUniversidade do PortoNorthwestern UniversityUniversity of Central FloridaTulane UniversityConcordia UniversityCentral Connecticut State UniversityUniversité du Québec à MontréalKorea UniversityUniverzita Karlova v PrazeUniversiteit GentUniversidade Federal de PelotasUniversity of PittsburghClemson UniversityMassachusetts Institute of Technology
KeywordsBusiness

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)0.004
metaresearch head score (Gemma)0.016
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: Other
Teacher disagreement score0.781
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0020.000
Scholarly communication0.0070.003
Open science0.0030.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.7810.787

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 head0.253
GPT teacher head0.335
Teacher spread0.083 · 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.

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 abstractno

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