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Record W4410712044 · doi:10.1016/j.cllc.2025.05.011

Baseline Characteristics of Participants and Pulmonary Nodules in the Watch the Spot Trial: A Pragmatic Trial of Less versus More Intensive Strategies for Active Surveillance of Patients With Small Pulmonary Nodules

2025· article· en· W4410712044 on OpenAlexfundno aff
Michael K. Gould, Evan de Bie, Lihong Qi, Beth Creekmur, Peter J. Mazzone, Richard A. Mularski, Debra P. Ritzwoller, Christopher G. Slatore, Anil Vachani, Eric C. Walter, Renda Soylemez Wiener, Debra S. Dyer, Charlene McEvoy, Karen Kelly, Rebecca Smith‐Bindman, Diana L. Miglioretti

Bibliographic record

VenueClinical Lung Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsnot available
FundersMichigan State Horticultural SocietyMailman School of Public Health, Columbia UniversityFundacja na rzecz Nauki PolskiejAmerican College of RadiologyAmerican College of Chest PhysiciansCanada Research Coordinating CommitteeMining History AssociationAmerican Thoracic SocietyBoston UniversityUniversity of PennsylvaniaNational Cancer InstituteCleveland Clinic FoundationPatient-Centered Outcomes Research InstituteAmerican Cancer Society
KeywordsMedicineLung cancer screeningBaseline (sea)Lung cancerInternal medicineRadiologyIntensive care medicineEmergency medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.065
GPT teacher head0.395
Teacher spread0.330 · 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 designObservational
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

Citations2
Published2025
Admission routes1
Has abstractno

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