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Record W4306687454 · doi:10.1016/j.jvir.2022.10.021

Nationwide Outcomes following Percutaneous Cholecystostomy for Acute Calculous Cholecystitis and the Impact of Coronavirus Disease 2019: Results of the Multicentre Audit of Cholecystostomy and Further Interventions (MACAFI study)

2022· article· en· W4306687454 on OpenAlexaff
Andrew MacCormick, Paul Jenkins, Jim Zhong, Gregory C. Makris, Nelofer Gafoor, David Chan, John Brittenden, David Stockell, Vinesh Palanimuthu, Yousef Shahin, Naomi Hersey, Thomas Geh, Joe Kang, Maria Sukhanenko, Z. D. Yin, Wei Sheng Pang, Lokesh Saraswat, Nabil Ali, Usman Mahay, Katrina Harborne, Rahul Chivate, Romman Nourzaie, Niall Burke, Benedict Thomson, Christopher Clarke, Mehreen Yousuff, James Davies, John Sammut, Cherian George, Salman Javed Arain, Damian Mullan, E. Trevor King, Zelei Yang, Chantal Liu, Alicia Skervin, Bankole Oyewole, Ajay Belgaumkar, Georgiana Zamfir, Matthew Seager, Dinesh Sethumadhavan, Praveen Peddu, Hunain Shiwani, Niaz Ahmed, Usman Goga, Mohammed Akthar, Arjun Bhondi, Fahad Mohammad, Can Hazar, Carolina Alemán Ramírez, James Murdoch, Mohamed Kasem, Syed Rahman, Cameron Bullock, Andrew Gemmell, Omotolani Lewis, Joshua D. Lee, Sabrina Mason, Jun-Li Tham, Choong Poon, Charlotte Jones, Ashley Thorpe, Vinay Kumar Doddaballapur, Tarryn Carlsson, Andrew White, Tonia Forjoe, Gaurav Sundar, A. Greenwood, Katherine Lewis, Karen Man Yan Chan, Amr Moussa, Kelvin Tan, Michael Crawford, Tariq Ali, Yasir Sabir, Amjad Chamsi Basha, Wing Yan Liu, Samuel Walker, Tze Hung Siah, Akash Ganguly, Muhammad Akram, Shian Patel, Drew Maclean, Harriet Williams-Gunn, Matthew O’Brien, Hannah Cliffe, Flavius Parvulescu, Joey Fong, Jins Kallampallil, Symeon Lechareas, Dexter Valencia, Pubudu Piyatissa, R.H. Bakewell, Nicholas Heptonstall, Nadeem Shaida, Michael Ryder, Ketan Gaikwad, Vinay Gangadharan, A.K.M. Ahsan Habib, Gautam Menon, Abdishakur Mohamed, Jackson Pat, N. Railton, Matthew Tam, Yong Keen Hor, Claire Ryan, Timothy Guest, Naeem Jagirdar, M Chetan, Faraaz Khan, Andrew Macdonald, Simon Burbidge, Mayooreshan Anandarajah

Bibliographic record

VenueJournal of Vascular and Interventional Radiology · 2022
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsSt. Thomas Hospital
FundersNational Institute for Health and Care ResearchCancer Research UK
KeywordsMedicineCholecystostomyCholecystitisAcute cholecystitisPandemicPsychological interventionMortality ratePercutaneousCholecystectomySurgeryCoronavirus disease 2019 (COVID-19)General surgeryInternal medicineGallbladderDisease

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)0.001
metaresearch head score (Gemma)0.001
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 score0.076
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.345
Teacher spread0.328 · 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

Citations3
Published2022
Admission routes1
Has abstractno

Explore more

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