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Record W4366324106 · doi:10.5114/pm.2022.126739

Off-label dexmedetomidine use in palliative patients

2022· article· en· W4366324106 on OpenAlexaboutno aff
Karolina Niedźwiecka, Aleksander Turczynowicz, Dominik Andrzej Panasiuk, Julia Kondracka, Weronika Przontka, Jakub Równy, Weronika Pużyńska, Piotr Jakubów

Bibliographic record

VenueMedycyna Paliatywna · 2022
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsDexmedetomidinePalliative careMedicineSurgeryNursing

Abstract

fetched live from OpenAlex

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Niedźwiecka K, Turczynowicz A, Panasiuk D, et al. Off-label dexmedetomidine use in palliative patients. Medycyna Paliatywna/Palliative Medicine. 2022;14(3):125-131. doi:10.5114/pm.2022.126739. APA Niedźwiecka, K., Turczynowicz, A., Panasiuk, D., Kondracka, J., Przontka, W., & Równy, J. et al. (2022). Off-label dexmedetomidine use in palliative patients. Medycyna Paliatywna/Palliative Medicine, 14(3), 125-131. https://doi.org/10.5114/pm.2022.126739 Chicago Niedźwiecka, Karolina, Aleksander Turczynowicz, Dominik Panasiuk, Julia Kondracka, Weronika Przontka, Jakub Równy, and Weronika Pużyńska et al. 2022. "Off-label dexmedetomidine use in palliative patients". Medycyna Paliatywna/Palliative Medicine 14 (3): 125-131. doi:10.5114/pm.2022.126739. Harvard Niedźwiecka, K., Turczynowicz, A., Panasiuk, D., Kondracka, J., Przontka, W., Równy, J., Pużyńska, W., and Jakubów, P. (2022). Off-label dexmedetomidine use in palliative patients. Medycyna Paliatywna/Palliative Medicine, 14(3), pp.125-131. https://doi.org/10.5114/pm.2022.126739 MLA Niedźwiecka, Karolina et al. "Off-label dexmedetomidine use in palliative patients." Medycyna Paliatywna/Palliative Medicine, vol. 14, no. 3, 2022, pp. 125-131. doi:10.5114/pm.2022.126739. Vancouver Niedźwiecka K, Turczynowicz A, Panasiuk D, Kondracka J, Przontka W, Równy J et al. Off-label dexmedetomidine use in palliative patients. Medycyna Paliatywna/Palliative Medicine. 2022;14(3):125-131. doi:10.5114/pm.2022.126739.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.061
GPT teacher head0.297
Teacher spread0.236 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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