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Contributors

2019· book-chapter· en· W4253834308 on OpenAlexaff
Jamiu Busari Ahmad, Haji Akber Aisa, Abdulwakeel Ayokun‐nun Ajao, Ebenezer I. O. Ajayi, Raliat Abimbola Aladodo, Alexandra Bédard, Tapan Behl, Jesse Bertinato, Kristina Bljajić, Zaric L. Bozidarka, Branislava Ilinčić, Elizabeth Calderón‐Cortés, Pramila Chaubey, Mark Cheah, Zhen Cheng, Christian Cortés‐Rojo, Ana Raimunda Dâmaso, Babak Daneshfard, Aline de Piano, Yuesheng Dong, Stokić Edita, Nada El Darra, Omotayo O. Erejuwa, Claudia I. Gamboa‐Gómez, Gao Yanhua, Marta Germán‐Díaz, George Boon‐Bee Goh, Armando González-Stuart, Maria Grammatiki, Minerva Granado-Casas, Madhuri Grover, Ana Laura Guadarrama‐López, Fernando Guerrero‐Romero, Jyoti Gupta, L. S. Harbige, Mohammad Hashem Hashempur, Patonah Hasimun, Erik J. Henriksen, Mojtaba Heydari, Suleen Ho, Shabnam Hosseini, Somayeh Hosseinpour‐Niazi, Hossein Hosseinzadeh, Esma R. Isenović, Monica Jane, Carol S. Johnston, Loveleen Kaur, Ary Prihardhyanto Keim, I Ketut Adnyana, Oluwaseun Tope Kiakubu, Kalliopi Kotsa, Liu Liu, Qingling Ma, Moses Madende, Rashita Makkar, Beatriz Elina Martínez‐Carrillo, Deborah Cristina Landi Masquio, J. Masuda, K. Matsuoka, Dı́dac Mauricio, Arthur J. McCullough, Jenny McKay, Stefano Menini, Parvin Mirmiran, Emmanuel U. Modo, Olorunfemi R. Molehin, Rocío Montoya‐Pérez, José Manuel Moreno-Villares, Seyed Hamdollah Mosavat, Raju Murali, Ismaila Olarewaju Nurain, Milan Obradović, Nilüfer Orhan, Mohadeseh Ostovar, Sebely Pal, Carlo Pesce, Marcelo Maia Pinheiro, Felipe Moura Maia Pinheiro, Donato Pinto, Seetur R. Pradeep, Karim Raafat, Bibi Marjan Razavi, Caroline Richard, José O. Rivera, Martha Rodríguez‐Morán, Alain R. Rodríguez-Orozco, Alfredo Saavedra‐Molina, Saheed Sabiu, Fatima Saleh, Preeti C. Sangave, Herbert Schwabl, Karan Shah, Mesbah Shams, Shivali Sharma, F. Shimizu, Luis E. Simental‐Mendía, Ashish Kumar Singh, Subramani Srinivasan, Krishnapura Srinivasan, Wawan Sujarwo, Wenlong Sun, Vasanti Suvarna, Karen L. Sweazea, A. Takada, Dan Tang, Roxana Valdés‐Ramos, Cécile Vennos, Veerasamy Vinothkumar, Yuanyuan Wei, Xuelei Xin, Yan Xing, Abulimiti Yili, Bowei Zhang, Taojing Zhang, Stosic Zoran, Marijana Zovko Končić

Bibliographic record

VenueElsevier eBooks · 2019
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsUniversity of OttawaHealth CanadaUniversité Laval
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 score0.270
Threshold uncertainty score0.385

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)0.7300.657

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 head0.238
Teacher spread0.223 · 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
Published2019
Admission routes1
Has abstractno

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