MétaCan
Menu
Back to cohort
Record W2117249628 · doi:10.1183/09031936.01.00266901

Advances in imaging

2001· article· en· W2117249628 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.

Bibliographic record

VenueEuropean Respiratory Journal · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePositron emission tomographyMagnetic resonance imagingRadiologyMedical imagingLung cancerComputed tomographyReview articleMedical physicsLung diseaseLungPathologyInternal medicine

Abstract

fetched live from OpenAlex

In recent years there have been major advances in chest imaging. These include significant refinements in previously available techniques such as computed tomography (CT) and magnetic resonance (MR) imaging and the introduction of new techniques into the clinical armamentarium, particularly positron emission tomography (PET) imaging. These advances have led to changes in the diagnostic approach to a number of conditions, particularly pulmonary embolism, lung cancer, diseases of the large and small airways, and diffuse lung disease. They have also brought new insights into the pathophysiology of lung disease. State of the art CT and MR imaging now allow objective quantification of lung disease and assessment of regional changes in ventilation and perfusion caused by airway and parenchymal abnormalities. The aim of this article is to summarize the most important clinical applications of the recent advances in imaging and to emphasize the topics of imaging research likely to attract particular attention from radiologists and clinicians in the near future.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.019
GPT teacher head0.300
Teacher spread0.281 · 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