Recommendations to address respondent burden associated with patient-reported outcome assessment
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Insufficient payload (model declined to judge)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: Not applicable
- Genre
- Candidate signal: EmpiricalConsensus signal: none
- Teacher disagreement score
- 0.801
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.390 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
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.
The record
- Venue
- Nature Medicine
- Topic
- Delphi Technique in Research
- Field
- Social Sciences
- Canadian institutions
- Queen's UniversityHealth Canada
- Funders
- Daiichi Sankyo EuropeUCB PharmaNational Institute for Health Research Applied Research Collaboration WestMacmillan Cancer SupportUniversity of Texas MD Anderson Cancer CenterAstraZenecaEuropean CommissionGenentechFaculty of Medicine and Health, University of SydneyU.S. Food and Drug AdministrationBarts Health NHS TrustHealth CanadaAstellas PharmaQueen's UniversityUniversity of SydneyAston UniversityEuropean Regional Development FundMerck KGaAECOG-ACRIN Cancer Research GroupJohns Hopkins UniversityFeinberg School of MedicineLUNGevity FoundationAnthony NolanNational Institutes of HealthMenzies Institute for Medical ResearchUniversity Hospitals Birmingham NHS Foundation TrustSarcoma UKNational Institute for Health and Care ResearchQueen Mary University of LondonBirmingham Biomedical Research CentrePfizerUniversity of TasmaniaNorthwestern UniversityPatient-Centered Outcomes Research InstituteIncyteVeloxis PharmaceuticalsBrown UniversityEuroQol Research FoundationAmerican College of Radiology Imaging NetworkNational Cancer InstituteGilead SciencesSurgical Reconstruction and Microbiology Research CentreUK Research and InnovationBristol-Myers SquibbEli Lilly and CompanyNational Health and Medical Research CouncilAmgenSeagen
- Keywords
- RespondentMedicineOutcome (game theory)Patient-reported outcomePolitical scienceNursingQuality of life (healthcare)
- Has abstract in OpenAlex
- no