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Record W2970926779 · doi:10.21037/jtd.2019.08.64

Next-generation care pathways for allergic rhinitis and asthma multimorbidity: a model for multimorbid non-communicable diseases—Meeting Report (Part 1)

2019· article· en· W2970926779 on OpenAlexaff
Jean Bousquet, N. Pham‐Thi, Anna Bedbrook, Ioana Agache, Isabella Annesi‐Maesano, Ignacio J. Ansotegui, Josep M. Antó, Claus Bachert, Samuel Benveniste, M. Bewick, Nils Billo, Sinthia Bosnic‐Anticevich, Isabelle Bossé, Guy Brusselle, Moisés A. Calderón, Giorgio W. Canonica, Luis Caraballo, Victória Cardona, Ana María Carriazo, Eugene Cash, Lorenzo Cecchi, Derek K. Chu, Elaine Colgan, Elı́sio Costa, Álvaro A. Cruz, Stephen R. Durham, Motohiro Ebisawa, Marina Erhola, Jean‐Luc Fauquert, Wytske J. Fokkens, João Fonseca, Nick Guldemond, Tomohisa Iinuma, Maddalena Illario, Ludger Klimek, Piotr Kuna, Violeta Kvedarienė, Désirée Larenas-Linneman, Daniel Laune, Lan Le, Olga Lourenço, João O. Malva, Gert Mariën, Enrica Menditto, Joaquim Mullol, Lars Münter, Yoshitaka Okamoto, Gabrielle L. Onorato, Maritta Perala, Oliver Pfaar, Abigail Phillips, Jim Phillips, Hilary Pinnock, F. Portejoie, Pablo Quinones‐Delgado, Christine Rolland, Ulysse Rodts, Bolesław Samoliński, Mario Sánchez‐Borges, Holger J. Schünemann, Mohamed H. Shamji, David Somekh, Alkis Togias, Sanna Toppila‐Salmi, Ioanna Tsiligianni, Omar S. Usmani, Samantha Walker, Dana Wallace, Arunas Valiulis, Rianne van der Kleij, Maria Teresa Ventura, Siân Williams, Arzu Yorgancıoğlu, Torsten Zuberbier

Bibliographic record

VenueJournal of Thoracic Disease · 2019
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster UniversityImpact
FundersEIT HealthNational Institute of Allergy and Infectious DiseasesAllergy TherapeuticsNational Institutes of HealthMylanAllergopharmaAstraZeneca
KeywordsMedicineMultimorbidityAsthmaEnvironmental healthPediatricsFamily medicineImmunologyChronic disease

Abstract

fetched live from OpenAlex

Background: In all societies, the burden and cost of allergic and chronic respiratory diseases are increasing rapidly. Most economies are struggling to deliver modern health care effectively. There is a need to support the transformation of the health care system into integrated care with organizational health literacy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.069
GPT teacher head0.340
Teacher spread0.271 · 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 designSimulation or modeling
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

Citations15
Published2019
Admission routes1
Has abstractyes

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