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WHO implementation workshop on guidelines on procedures and data requirements for changes to approved biotherapeutic products, Seoul, Republic of Korea, 25–26 June 2019

2020· article· en· W2999642303 on OpenAlexaff
Meenu Wadhwa, Hye‐Na Kang, Teeranart Jivapaisarnpong, Aziza Ahmed, Lucia Rizka Andalucia, Carolina Damas Rocha Zarate Blades, Mary Casas Levano, Weihong Chang, Jing Yin Chew, Mumbi Bernice Chilufya, Parichard Chirachanakul, Heeyoun Cho, Yi O. Cho, Kyung Min Choi, Sannie Siaw Foong Chong, Hui Ming Chua, Ali Vasheghani‐Farahani, Mümün Gençoğlu, Mariam Raouf Wefky Ghobrial, Prasunkumar Guha, M Lugo, Sung Bae Ha, Suna Habahbeh, Hugo Hamel, Yeosun Hong, Алексей Викторович Яруткин, Hyunsook Jang, R. Jayachandran, Dong Young Kim, Gi Hyun Kim, Yunjeong Kim, Hyuk-Sang Kwon, Jacob Gorm Larsen, Aileen HyoJu Lee, Ji-Young Lee, Ksenia S. Medvedeva, Zuma Munkombwe, Ilung Oh, Joo‐Young Park, Desi Eka Putri, Sungmun Ryu, Maria Savkina, Thomas Schreitmueller, Oleh Semeniuk, Mira Seo, Yung In Shin, Jinho Shin, Shraddha Srivastava, HyeonHo Song, Suwon Song, João Tavares Neto, Teruhide Yamaguchi, Hyun‐Jun Youn, Minae Yun

Bibliographic record

VenueBiologicals · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsHealth Canada
FundersMinistry of Food and Drug SafetyWorld Health Organization
KeywordsGuidelineCLARITYProduct (mathematics)BusinessMedicineMedical education

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)0.136
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.136
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1360.085
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0050.003
Science and technology studies0.0030.004
Scholarly communication0.0070.004
Open science0.0090.006
Research integrity0.0200.017
Insufficient payload (model declined to judge)0.0150.008

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 head0.306
GPT teacher head0.453
Teacher spread0.147 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractno

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