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2024· book-chapter· en· W4404616145 on OpenAlexaff
Samuel Machado Abreu, Sayeed Ahmad, Abdel Rahman Al-Tawaha, Sílvio Jackson Félix Alves, Andrea Anschau, Alexandra-Costina Avîrvarei, Deborah Lizama Boettcher, Satinder Kaur Brar, Jesús Manuel Cantoral-Fernández, Călina Ciont, Teodora Emilia Coldea, Gustavo Cordero-Bueso, Paulo Sérgio Pedroso Costa Júnior, Gustavo Henrique Couto, Anamaria Cozma-Petruț, Alexander da Silva Vale, Aline Eurich da Silva Valigura, Cosmin Dărab, Nathália Kelly de Araújo, Dão Pedro de Carvalho Neto, Aline de Cássia Campos Pena, Rita de Cassia de Mello Ugalde, Juliano De Dea Lindner, Kely Priscila de Lima, Gilberto Vinícius de Melo Pereira, Marsilvio Lima de Moraes Filho, Samara Silva de Souza, Cláudia Cristina Auler do Amaral Santos, Fernanda Silva Farinazzo, Maria Thereza Carlos Fernandes, Fernanda Fiorda-Mello, Tendekayi Henry Gadaga, Víctor A. Gallardo, Sandra Garcia, K. Gayathri, Patrícia Beatriz Gruening de Mattos, Karla Bigetti Guergoletto, M. Teresa Gutiérrez, Mustafa Hasan, Elisabete Hiromi Hashimoto, Azhar Jabeen, Luz Adriana Puentes Jácome, Alex Consani Cham, Cíntia Lacerda Ramos, Dirk W. Lachenmeier, Angelita Machado Leitão, B. Lokeshwari, Ana Cláudia Alencar Lopes, Ahmad Kamil Mahmood, M. Manigandan, José Guilherme Prado Martin, Carolina Saori Ishii Mauro, Marília Miotto, Kshipra Misra, Elena Mudura, Ariane Fátima Murawski de Mello, Maria Giovana Binder Pagnoncelli, Rabea Parveen, Carmen Rodica Pop, Oana Lelia Pop, Luciana Porto de Souza Vandenberghe, Eugen Dan Radu, Ramesh C. Ray, Sabrina Ávila Rodrigues, Fernanda Rosário, Cledir Santos, Paula Taís Maia Santos, Wellington Barros dos Santos, P. Saranraj, Saurabh Jyoti Sarma, R. Z. Sayyed, Sumit Sharma, Shikha Singh, P. Sivasakthivelan, Dalila Luzia de Oliveira Soares, Carlos Ricardo Soccol, Marius K. Somda, Gayatri Suresh, Kim Kley Valladares-Diestra, Bárbara Côgo Venturim, Silvani Verruck, María Paz Villanueva-Llanes, Natan Wile, Vasudeo Zambare, Priscilla Zwiercheczewski de Oliveira

Bibliographic record

VenueElsevier eBooks · 2024
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsYork University
Fundersnot available
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 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)0.000
metaresearch head score (Gemma)0.002
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 score0.256
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7440.680

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 head0.248
Teacher spread0.233 · 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
Published2024
Admission routes1
Has abstractno

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