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Record W2803201224 · doi:10.1212/cpj.0000000000000462

Reflections on translation

2018· review· en· W2803201224 on OpenAlexafffundabout
Shelly Benjaminy, Cody Lo, Judy Illes, Anthony Traboulsee

Bibliographic record

VenueNeurology Clinical Practice · 2018
Typereview
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsNeuroDevNet
FundersUniversity of British ColumbiaMcGill UniversityUniversité Laval
KeywordsPsychologyAffect (linguistics)Clinical trialIntervention (counseling)Clinical psychologyMedicinePhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

<h3>Background</h3> We sought to characterize the perspectives of participants in Canada9s phase I/II chronic cerebrospinal venous insufficiency (CCSVI) clinical trial prior to and after the disclosure of trial results. <h3>Methods</h3> This was a researcher-administered survey of individuals who participated in Canada9s CCSVI trial (Clincialtrials.gov, NCT01864941) about their (1) motivations for participating, (2) understanding of the trial process, and (3) perspectives on the social value of the trial. <h3>Results</h3> A total of 63 participants completed the survey. Participants were motivated to participate by altruism (mean score = 4.56 out of 5) and a desire to access the intervention in Canada (mean score = 3.63 out of 5). Many participants expected medical benefits, such as partial disease reversal (mean score = 3.32 out of 5). Participants felt strongly that the crossover trial design promoted fairness (mean score = 4.65 out of 5). Participants9 familiarity with the CCSVI controversy increased significantly after the results were revealed (<i>p</i> = 0.0001). Despite negative trial results, participants still felt that the trial was an appropriate use of tax dollars (mean score = 4.68 out of 5). Many (38%) upheld the belief that further CCSVI research is necessary (responses of 4 out of 5 or higher). <h3>Conclusions</h3> There is a strong movement in science today to ensure that research agendas reflect the perspectives of multiple stakeholders, including research participants. While previous work suggests that negative findings adversely affect trust in science, the perspectives of participants in this study demonstrate that good trial design and resilience can prevail over expected tensions.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.006

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 head0.421
GPT teacher head0.582
Teacher spread0.161 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2018
Admission routes3
Has abstractyes

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