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Record W2018304470 · doi:10.1016/j.ejca.2012.02.059

Evidence-based guidelines for interpreting change scores for the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30

2012· article· en· W2018304470 on OpenAlexfundno aff
Kim Cocks, Madeleine King, Galina Velikova, Gilberto de Castro, Marrissa Martyn St-James, Peter Fayers, Julia Brown

Bibliographic record

VenueEuropean Journal of Cancer · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
FundersNational Taiwan UniversityNational Health and Medical Research CouncilQueen's UniversityUniversity of BristolAssistance publique-Hôpitaux de ParisQueen's University BelfastUniversity of NottinghamUniversidade de São PauloUniversity of LeedsCancer Research UK
KeywordsQuality of life (healthcare)Sample size determinationAttritionSample (material)MedicineCore (optical fiber)CancerPsychologyMeta-analysisStatisticsComputer sciencePathologyMathematicsPsychotherapistInternal 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)0.151
metaresearch head score (Gemma)0.291
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1510.291
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0110.026
Bibliometrics0.0150.012
Science and technology studies0.0030.004
Scholarly communication0.0080.004
Open science0.0130.004
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0070.004

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 head0.560
GPT teacher head0.505
Teacher spread0.055 · 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
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

Citations565
Published2012
Admission routes1
Has abstractno

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