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Record W2960609828 · doi:10.4103/ijri.ijri_153_18

Indian guidelines on imaging of the small intestine in Crohn’s disease: A joint Indian Society of Gastroenterology and Indian Radiology and Imaging Association consensus statement

2019· article· en· W2960609828 on OpenAlexaff
Saurabh Kedia, Raju Sharma, Govind Makharia, Vineet Ahuja, Devendra Desai, Devasenathipathy Kandasamy, Anu Eapen, Karthik Ganesan, Uday C Ghosha, Naveen Kalra, R Karthikeyan, Kumble Seetharama Madhusudhan, Philip Mathew, Amarender Singh Puri, Sunil Puri, Saroj Kant Sinha, Rupa Banerjee, Shobna Bhatia, Naresh Bhat, Sunil Dadhich, Gopal Krishna Dhali, Bhabhadev Goswami, Sanjeev K. Issar, V. Jayanthi, S P Misra, Sandeep Nijhawan, P. Puri, Avik Sarkar, Sarvinder Singh, Anshu Srivastava, Philip Abraham, Banumathi Ramakrishna

Bibliographic record

VenueIndian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineStatement (logic)Crohn's diseaseRadiologyInternal medicineGastroenterologyDiseaseGeneral surgery

Abstract

fetched live from OpenAlex

The Indian Society of Gastroenterology (ISG) Task Force on Inflammatory Bowel Disease and the Indian Radiological and Imaging Association (IRIA) developed combined ISG-IRIA evidence-based best-practice guidelines for imaging of the small intestine in patients suspected to have or having Crohn's disease. The 29 consensus statements, developed through a modified Delphi process, are intended to serve as reference for teaching, clinical practice, and research.

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 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)0.027
metaresearch head score (Gemma)0.048
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 score0.029
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0100.009
Science and technology studies0.0020.003
Scholarly communication0.0040.002
Open science0.0060.004
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0040.004

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueIndian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging→Same topicInflammatory Bowel Disease→French-language works237,207→