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Record W4406091007 · doi:10.58931/cait.2024.4374

Pearls from the 2024 European Respiratory Congress

2024· article· en· W4406091007 on OpenAlexafffund
Manali Mukherjee

Bibliographic record

VenueCanadian allergy & immunology today. · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
FundersInstitute of Circulatory and Respiratory HealthCanadian Institutes of Health ResearchEuropean Academy of Allergy and Clinical ImmunologySanofiMcMaster UniversityCanadian Allergy, Asthma and Immunology FoundationAstraZeneca
KeywordsPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The European Respiratory Congress 2024, held from September 7th to 11th, 2024, in Vienna, Austria, featured several presentations on airway diseases, interstitial lung diseases, bronchiectasis, and critical care, with a focus on emerging therapies, particularly on asthma and chronic obstructive pulmonary disease (COPD).

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)0.007
metaresearch head score (Gemma)0.027
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 score0.131
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.004
Science and technology studies0.0020.001
Scholarly communication0.0080.004
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.1310.084

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 head0.065
GPT teacher head0.357
Teacher spread0.292 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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