MétaCan
Menu
← Back to cohort
Record W2994776872 · doi:10.1016/j.jval.2019.09.649

PCN457 THE SISAQOL INITIATIVE: ESTABLISHING INTERNATIONAL STANDARDS AND RECOMMENDATIONS FOR THE ANALYSIS OF PATIENT-REPORTED OUTCOMES AND QUALITY OF LIFE DATA IN ONCOLOGY RANDOMIZED CLINICAL TRIALS

2019· article· en· W2994776872 on OpenAlexaff
Lien Dorme, Madeline Pe, Corneel Coens, Ethan Basch, Melanie Calvert, Alicyn Campbell, Charles S. Cleeland, Kim Cocks, Laurence Collette, Nancy Devlin, Amylou C. Dueck, Hans‐Henning Flechtner, Carolyn Gotay, Ingolf Griebsch, Mogens Grønvold, Laura Lee Johnson, Madeleine King, P.G. Kluetz, Michael Koller, DC Malone, Francesca Martinelli, Sandra A. Mitchell, Jammbe Musoro, Daniel O’Connor, Kathryn Oliver, Elisabeth Piault‐Louis, Martine Piccart, Chantal Quinten, Jaap C. Reijneveld, S Aigner Christoph, Jeff A. Sloan, Wendy Ashley, Katherine M Soltys, R. Sridhara, Martin Taphoorn, G. Velikova, Andrew Bottomley

Bibliographic record

VenueValue in Health · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsHealth CanadaUniversity of British Columbia
Fundersnot available
KeywordsMissing dataTerminologyComparabilityStandardizationClinical trialData qualityMedicineDescriptive statisticsData scienceManagement scienceComputer scienceBusinessService (business)StatisticsPathologyEngineering

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)0.728
metaresearch head score (Gemma)0.826
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.272
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.7280.826
Meta-epidemiology (narrow)0.0040.007
Meta-epidemiology (broad)0.0120.014
Bibliometrics0.0200.034
Science and technology studies0.0030.009
Scholarly communication0.0240.010
Open science0.0170.017
Research integrity0.0160.033
Insufficient payload (model declined to judge)0.0170.015

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 head0.785
GPT teacher head0.615
Teacher spread0.170 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreMethods

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
Published2019
Admission routes1
Has abstractno

Explore more

Same venueValue in Health→Same topicHealth Systems, Economic Evaluations, Quality of Life→French-language works237,207→