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2022· article· en· W4310174504 on OpenAlexfundno aff
Carlos Parra, Cynthia Villalba, Alejandra Cechich, Alejandro Zunino, Alicia Martín Martínez, Ana León Palacio, Andrea Delgado, Fernando Molina Granja, José Luís, Vázquez Noguera, Luana Martins, Nathalie Aquino, Paulo Afonso, Perreira Junior, Sandra Casas, Simone R. S. Souza, Laura Cabrera Quiros, Luis Castillo Ossa, Adrián Ramírez, César Garita, Clemente Rubio-Manzano, Daniel Negrotto, Dina Wonsever, Edgar Camargo, Eduardo Xamena

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
FundersUniversidad Nacional de Santiago del EsteroUniversité de Reims Champagne-ArdenneUniversidad Militar Nueva GranadaUniversidad de SalamancaUniversidade Federal FluminensePontificia Universidad JaverianaUniversité Paris 13Universidad de MedellínUniversidad Autónoma de OccidenteUniversidad del Bío-BíoUniversidad de CuencaUniversidad de las Fuerzas Armadas ESPEUniversidade Federal do Rio Grande do NorteUniversidade Federal do Rio de JaneiroUniversidade Federal do ParanáUniversidad de CaldasUniversidad Rey Juan CarlosUniversidad Nacional de Río CuartoUniversidad de Castilla-La ManchaUniversidad Abierta InteramericanaUniversidade Federal de Santa CatarinaUniversidad Carlos III de MadridUniversidade Estadual de CampinasUniversidad de GranadaGeorgia Institute of TechnologyConsejo Nacional de Investigaciones Científicas y TécnicasInstituto Tecnológico y de Estudios Superiores de MonterreyOstravská Univerzita v OstravěInstitución Universitaria Politécnico GrancolombianoUniversidade Federal do AmazonasUniversidad de la República UruguayUniversidad de ChileUniversidade Federal de Santa MariaUniversidade de LisboaDalhousie UniversityBarcelona Supercomputing CenterUniversidad Nacional del Centro de la Provincia de Buenos AiresUniversidad Nacional del SurUniversidad de AlcaláUniversidad de Buenos AiresUniversidade Federal do PiauíUniversidade Federal do Rio Grande do SulUniversidade Federal de Mato Grosso do SulUniversidad de ConcepciónInstituto Tecnológico de Costa RicaCentre National de la Recherche ScientifiqueUniversidad de Costa RicaUniversidade Federal de Ouro PretoPontificia Universidad Católica de ChileUniversidad Nacional de La PlataUniversidad Técnica Particular de LojaUniversidad Católica del NorteUniversidade Presbiteriana MackenzieUniversidad Nacional de ColombiaUniversität TrierUniversidade Federal de Minas GeraisUniversidad Tecnológica de PanamáUnited Nations Development ProgrammeRijksuniversiteit GroningenUniversidad Nacional Autónoma de MéxicoTechnische Universiteit EindhovenUniversidad EAFITUniversidad de JaénUniversidad Nacional de AsunciónUniversitat de les Illes BalearsCETYS UniversidadUniversidad Nacional de Colombia, Sede ManizalesUniversidade do PortoUniversidad Técnica Federico Santa MaríaUniversidade de BrasíliaUniversidad Nacional de Costa RicaUniversidad Nacional de San LuisUniversidad de ValparaísoUniversidad Complutense de MadridIndiana Corn Marketing CouncilUniversidad del ValleUniversidade Federal de Goiás
KeywordsComputer science

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.084

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2022
Admission routes1
Has abstractno

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