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2024· book-chapter· en· W4404615723 on OpenAlexaff
Muhammad Saifullah Abu Bakar, Sakkarapani Amsaveni, K. Anaswara, Didem Balkanlı, Andrés F. Barajas-Solano, Amarjeet Bassi, Bunushree Behera, Muhammad Roil Bilad, Theppanya Charoenrat, Supenya Chittapun, Jefferson E. Contreras-Ropero, Joel L. Cuello, Alvin B. Culaba, Asep Bayu Dani Nandiyanto, Michael K. Danquah, Ndahita De Dios-Ávila, Júlio Gabriel Oliveira de Lima, Carolina Elisa Demaman Oro, Mariany Costa Deprá, Dolly Wattal Dhar, Gopal Dharani, Rosângela Rodrigues Dias, Maicon Sérgio Nascimento dos Santos, Fahrurrozi Fahrurrozi, Claire A. Fawcett, Janet B. García-Martínez, H. Michael Guo, Neeru Gupta, Christian Gusbeth, Theophilus Gyau, Zubair Hashmi, Benan İnan, Eduardo Jacob-Lopes, Tharunkumar Jayakumar, Pannaga Pavan Jutur, Hataichanok Kantrong, Gülcan Ayşin Karaca, Beyza Karacaoğlu, Anıl Tevfik Koçer, Supraja Kolli Venkata, Chatchol Kongsinkaew, Maame A. Korsah, Gourav Kumar, Corey A. Laamanen, Jun Wei Lim, Daron Lyon, Cassamo U. Mussagy, David Neder‐Suárez, Asha A. Nesamma, Nathália de Andrade Neves, Hui Lin Ong, Wanida Pan-utai, Ehsanur Rahman, Suchitra Rakesh, Sandu Sai Ranjith, Bobita Ray, Mohammed Rehmanji, Sharmin Yousuf Rikta, Prangya Ranjan Rout, Mari Selvam S., Valéria C. Santos‐Ebinuma, Adriane Terezinha Schneider, John A. Scott, Gerusa N.A. Senhorinho, Zahra Shokravi, Hoofar Shokravi, Richard Luan Silva Machado, Rabinder Singh, Mayra Cristina Soto‐Caballero, Hosney Jahan Sraboni, Penjit Srinophakun, Rogelio Sánchez‐Vega, Anusith Thanapimmetha, Mary Leema J. Thilakan, Tong Li, Marcus V. Tres, Sabeela Beevi Ummalyma, Raquel Guidetti Vendruscolo, Nathalia Vieira Porphirio Veríssimo, Al Rey Villagracia, João H. C. Wancura, Cao Xupeng, Giovani L. Zabot, Juliana Zaini, Leila Queiroz Zepka, J. Zhou, Antonio Zuorro, María Janeth Rodríguez‐Roque

Bibliographic record

VenueElsevier eBooks · 2024
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsWestern 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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