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Record W4385971531 · doi:10.3233/npm-239004

Proceedings of the 14 <sup>th</sup> International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc.

2023· article· en· W4385971531 on OpenAlexaff
Sanoj Karayil Mohammad Ali, Talal Altamimi, Kim V. Annink, Peter Bartmann, Nina Beato, Kristina Belker, Danielle Ben-David, Manon J.N.L. Benders, Soume Bhattacharya, Aravanan Anbu Chakkarapani, Laurence Charbonneau, Sara Cherkerzian, Rasheda Arman Chowdhury, Helen Christou, Dandrine de Ribaupierre, Mathieu Dehaes, Caroline Domogalla, Emma G. Duerden, Mohamed El‐Dib, Mohammed Elanbari, Hoda El-Shibiny, Corinna Engel, Ursula Felderhoff, Andreas W. Flemmer, Maria Angela Franceschini, Axel R. Franz, Aisling A. Garvey, Floris Groenendaal, Samir Gupta, Katie Hannon, Lena Hellström‐Westas, Susanne Herber-Jonat, Sandra Holz, Britta Hüning, Terrie E. Inder, Asma Jamil, Treesa Jilson, Lilian Kebaya, Matthias Keller, Aisha Kamil Mohamed Khalifa, Seh Hyun Kim, Jochen Kittel, Lutz Koch, Alexandra Kowalczyk, J. Kühr, Keith St. Lawrence, Sarah Lee, Bohdana Marandyuk, Neil Marlow, Paula Camila Mayorga, Ron Meyer, Paige Meyerink, Joaquim Miró, Kiran More, Aisha J. L. Munk, Chelsea Munster, Melab Musabi, Anne Monique Nuyt, Jochen Peters, Achim Plum, Nancy Poirier, Johannes Pöschl, Marie‐Josée Raboisson, Jill Robinson, Sriya Roychaudhuri, Mario Rüdiger, Gergely Sárközy, Ola Didrik Saugstad, Hugo Segerer, Naharmal Soni, Anja Stein, Carola Steins-Rang, John B. Sunwoo, Enikő Szakmár, Lingkai Tang, Erdal Taşkın, Homa Vahidi, Sina Waldherr, Christian Wieg, Stefan Winkler, Rong Wu, Phani Kiran Yajamanyam, Hacer Yapıcıoğlu-Yıldızdaş

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsWestern University
FundersNational Institute for Health and Care Research
KeywordsNeurosciencePsychology

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.375
Teacher spread0.332 · 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.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2023
Admission routes1
Has abstractno

Explore more

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