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Record W4391776273 · doi:10.1038/s41390-024-03032-7

Global cross-sectional survey on neonatal pharmacologic sedation and analgesia practices and pain assessment tools: impact of the sociodemographic index (SDI)

2024· article· en· W4391776273 on OpenAlexaff
Cristina Arribas, Giacomo Cavallaro, Juan Luis González-Caballero, Carolina Lagares, Genny Raffaeli, Anne Smits, Sinno H. P. Simons, Eduardo Villamor, Karel Allegaert, Felipe Garrido, Abigail Kusi Amponsah, Agnes van den Hoogen, Alexandra Ullsten, Angela Amigoni, Anna Axelin, Anna-Kaija Palomaa, Aomesh Bhatt, Arild Rønnestad, Beatrice Olsson Duse, Bente Johanne Vederhus, Bente Silnes Tandberg, Bert Joosten, Caroline Hartley, Charalampos Kotidis, Charles Christoph Roehr, Christ‐jan van Ganzewinkel, Daniela Sofia Horta Machado, Daniëlla Roofthooft, Elisabeth Norman, Emma Olsson, Eugene Dempsey, Evalotte Mörelius, Flore Le Maréchal, Francesca Sperotto, Gerbrich van den Bosch, Guðrún Kristjánsdóttir, Hanna Ahl, Hans Jørgen Stensvold, Helle Haslund‐Thomsen, Janne Weiss, Jannicke H. Andresen, Jean‐Michel Roué, Joke Wielenga, J Barge, Katrin Klebermaß-Schrehof, Laila Kristoffersen, Laura Moschino, Lene Tandle Lyngstad, Liam Mahoney, Luke Baxter, Magdalena Panek, Manon Tauzin, Maria Gradin, Mariaana Mäki‐Asiala, Marsha Campbell‐Yeo, Martina Carlsen Misic, Mathilde Baudat, Mats Eriksson, Máximo Vento, Monique van Dijk, Naomi Meesters, Natalia Toumbourou, Nunzia Decembrino, Paola Lago, Pia Lundqvist, Randi Dovland Andersen, Rebeccah Slater, Ricardo Carbajal, Rikke Louise Stenkjær, Robert B. Flint, Samir El Abdouni, Scott Montgomery, Serdar Beken, Sezin Ünal, Shalini Ojha, Shellie Robinson, Sigríður María Atladóttir, Sofie Pirlotte, Solfrid Steinnes, Swantje Völler, Tarja Pölkki, Tiina Ukkonen, Tom Stiris, Xavier Durrmeyer

Bibliographic record

VenuePediatric Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsDalhousie University
FundersEuropean Maritime and Fisheries FundMinistero della Salute
KeywordsCross-sectional studySedationMedicineIndex (typography)Pain managementAnesthesia

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)0.015
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.144
GPT teacher head0.521
Teacher spread0.377 · 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.

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

Citations11
Published2024
Admission routes1
Has abstractno

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