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Record W2751582734 · doi:10.1186/s41687-017-0009-2

Journal of Patient-Reported Outcomes: aims and scope

2017· editorial· en· W2751582734 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

VenueJournal of Patient-Reported Outcomes · 2017
Typeeditorial
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScope (computer science)PsychologyMedicineComputer science

Abstract

fetched live from OpenAlex

As founding Co-Editors-in-Chief of the Journal of Patient-Reported Outcomes (JPRO), we are excited to announce the launch of a new journal sponsored by the International Society for Quality of Life Research (ISOQOL). JPRO is intended to complement and extend ISOQOL's existing journal, Quality of Life Research. Clearly, Quality of Life Research has a long and successful history of publishing research on methods and applications of health-related quality of life (HRQL) and patient-reported outcomes (PROs). Given increased HRQL and PRO research, and the wider application of these outcomes across a variety of health care and population health settings, there is a need for more publication outlets for scientifically sound PRO research. The aims and scope of the Journal of Patient-Reported Outcomes focus on high quality research in five major areas: (1) PROs in clinical trials; (2) applications of PROs in clinical practice; (3) patient, family, community and public engagement in PRO research; (4) qualitative studies on the development and application of PROs; and (5) social and behavioral determinants of health and PRO measures. These focus areas are only some examples of the types of papers that are considered for publication in JPRO. JPRO is a peer-reviewed journal, with occasional special non-peer reviewed articles relevant to the journal's aims and scope.

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)0.005
metaresearch head score (Gemma)0.131
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.131
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.098
GPT teacher head0.453
Teacher spread0.356 · 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