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Record W4255095052 · doi:10.1002/14651858.cd010215

Psychological interventions for people with hemophilia

2012· article· en· W4255095052 on OpenAlexaff
F. Cassis, Francesca Emiliani, John Pasi, Laura Palareti, Alfonso Iorio

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2012
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychological interventionIntervention (counseling)Affect (linguistics)PsychotherapistMedicinePsychologyDiseaseClinical psychologyProtocol (science)Alternative medicinePsychiatry

Abstract

fetched live from OpenAlex

The primary purpose of this review is to evaluate if psychological therapies are helpful in improving the ability of peoplewith hemophilia to cope with their chronic condition. The chronic aspect of hemophilia, its clinical variabilities and the differences in treatment availability across countries are all factors that affect wellness in its emotional, intellectual, spiritual and behavioural dimensions. The main objectives are to determine in people with hemophilia: 1. if any psychotherapies are effective in the management of the disease; 2. which phase of the patient’s life or phase of treatment, or both, this effectiveness occurs; 3. which psychological therapies (as described under Types of interventions) are more effective for any given situation.

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 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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.207
GPT teacher head0.454
Teacher spread0.247 · 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 designSystematic review
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

Citations10
Published2012
Admission routes1
Has abstractyes

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