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Record W2295678160 · doi:10.1002/alr.21695

International Consensus Statement on Allergy and Rhinology: Rhinosinusitis

2016· review· en· W2295678160 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Forum of Allergy & Rhinology · 2016
Typereview
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of British ColumbiaUniversity of AlbertaUniversity of CalgaryUniversité de Montréal
Fundersnot available
KeywordsRhinologyMedicineChronic rhinosinusitisEvidence-based medicineNasal polypsIntensive care medicineMEDLINESinusitisSystematic reviewExacerbationAllergyEosinophilic esophagitisAsthmaStatement (logic)Alternative medicineOtorhinolaryngologyDiseasePathologyImmunologySurgery

Abstract

fetched live from OpenAlex

Contributing Authors Isam Alobid, MD, PhD 1 , Nithin D. Adappa, MD 2 , Henry P. Barham, MD 3 , Thiago Bezerra, MD 4 , Nadieska Caballero, MD 5 , Eugene G. Chang, MD 6 , Gaurav Chawdhary, MD 7 , Philip Chen, MD 8 , John P. Dahl, MD, PhD 9 , Anthony Del Signore, MD 10 , Carrie Flanagan, MD 11 , Daniel N. Frank, PhD 12 , Kai Fruth, MD, PhD 13 , Anne Getz, MD 14 , Samuel Greig, MD 15 , Elisa A. Illing, MD 16 , David W. Jang, MD 17 , Yong Gi Jung, MD 18 , Sammy Khalili, MD, MSc 19 , Cristobal Langdon, MD 20 , Kent Lam, MD 21 , Stella Lee, MD 22 , Seth Lieberman, MD 23 , Patricia Loftus, MD 24 , Luis Macias‐Valle, MD 25 , R. Peter Manes, MD 26 , Jill Mazza, MD 27 , Leandra Mfuna, MD 28 , David Morrissey, MD 29 , Sue Jean Mun, MD 30 , Jonathan B. Overdevest, MD, PhD 31 , Jayant M. Pinto, MD 32 , Jain Ravi, MD 33 , Douglas Reh, MD 34 , Peta L. Sacks, MD 35 , Michael H. Saste, MD 36 , John Schneider, MD, MA 37 , Ahmad R. Sedaghat, MD, PhD 38 , Zachary M. Soler, MD 39 , Neville Teo, MD 40 , Kota Wada, MD 41 , Kevin Welch, MD 42 , Troy D. Woodard, MD 43 , Alan Workman 44 , Yi Chen Zhao, MD 45 , David Zopf, MD 46 Contributing Author Affiliations 1 Universidad de Barcelona; 2 University of Pennsylvania; 3 Louisiana State University Health Sciences Center; 4 Universidade de São Paulo; 5 ENT Specialists of Illinois; 6 University of Arizona; 7 University of Oxford; 8 University of Texas; 9 University of Indiana; 10 Mount Sinai Beth Israel; 11 Emory University; 12 University of Colorado; 13 Wiesbaden, Germany; 14 University of Colorado; 15 University of Alberta; 16 University of Alabama at Birmingham; 17 Duke University; 18 Sungkyunkwan University; 19 University of Pennsylvania; 20 Universidad de Barcelona; 21 Northwestern University; 22 University of Pittsburgh; 23 New York University; 24 Emory University; 25 University of British Columbia; 26 Yale University School of Medicine; 27 Private Practice; 28 Department of Otolaryngology, Hôtel‐Dieu Hospital, Centre de Recherche du Centre Hospitalier de l'Université de Montréal; 29 University of Adelaide; 30 Pusan National University; 31 University of California, San Francisco; 32 University of Chicago; 33 University of Auckland; 34 Johns Hopkins University; 35 University of New South Wales, Australia; 36 Stanford University; 37 Washington University; 38 Harvard Medical School; 39 Medical University of South Carolina; 40 Singapore General Hospital; 41 Taho University; 42 Northwestern University; 43 Cleveland Clinic Foundation; 44 University of Pennsylvania; 45 University of Adelaide; 46 University of Michigan

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.349
Teacher spread0.311 · 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