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Record W4247631988 · doi:10.1007/s10461-021-03206-y

Correction to: Physical, Emotional, and Psychosocial Challenges Associated with Daily Dosing of HIV Medications and Their Impact on Indicators of Quality of Life: Findings from the Positive Perspectives Study

2021· article· en· W4247631988 on OpenAlexaff
Patricia Rios, Chinyere Okoli, Erika Castellanos, Brent Allan, Benjamin Young, Garry Brough, Marvelous Muchenje, Anton Eremin, Giulio Maria Corbelli, Marta McBritton, William D. Hardy, Nicolas Van de Velde

Bibliographic record

VenueAIDS and Behavior · 2021
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsInternational Council Of Aids Service Organizations
Fundersnot available
KeywordsInternet portalPsychosocialHealth psychologyAttributionDosingHuman immunodeficiency virus (HIV)Quality of Life ResearchQuality of life (healthcare)PsychologyGerontologyMedicineThe InternetPublic healthSocial psychologyPsychotherapistFamily medicinePharmacologyNursingWorld Wide Web

Abstract

fetched live from OpenAlex

The article Physical, Emotional, and Psychosocial Challenges Associated with Daily Dosing of HIV Medications and Their Impact on Indicators of Quality of Life: Findings from the Positive Perspectives Study, written by Patricia de los Rios · Chinyere Okoli · Erika Castellanos · Brent Allan · Benjamin Young · Garry Brough · Marvelous Muchenje · Anton Eremin · Giulio Maria Corbelli · Marta McBritton · W. David Hardy· Nicolas Van de Velde was originally published electronically on the publisher’s internet portal on 17th December 2020 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 16th February 2021 to © The Author’s 2021 and the article is forthwith distributed under a Creative Commons Attribution.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.363
Teacher spread0.320 · 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 teacher head, 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

Citations3
Published2021
Admission routes1
Has abstractyes

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