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Record W29931594

Purchasing Power Parity in the BRICS and the MIST Countries: Sequential Panel Selection Method

2014· article· en· W29931594 on OpenAlexvenueno aff
Mohsen Bahmani‐Óskooee, Tsangyao Chang, Kuei-Chiu Lee

Bibliographic record

VenueReview of Economics and Finance · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasing power parityUnit rootMean reversionEconometricsPanel dataUnit root testEconomicsSelection (genetic algorithm)Computer scienceExchange rateMacroeconomicsCointegration
DOInot available

Abstract

fetched live from OpenAlex

Telotristat ethyl (Xermelo<sup>®</sup>), a first-in-class peripheral tryptophan hydroxylase (TPH) inhibitor, is approved to treat carcinoid syndrome diarrhoea in combination with somatostatin analogue (SSA) therapy in adults inadequately controlled by SSA therapy alone. Some neuroendocrine tumours secrete serotonin (5-HT) into the blood, resulting in frequent bowel movements (BMs) and other symptoms. Telotristat ethyl inhibits TPH, thereby reducing the production of 5-HT and improving carcinoid syndrome diarrhoea. In the 12-week placebo-controlled phase of randomized trials in patients with carcinoid syndrome diarrhoea (most of whom were receiving SSA therapy), the addition of oral telotristat ethyl 250 three times daily provided significant reductions in the frequency of BMs and levels of urinary 5-hydroxyindolacetic acid (u5-HIAA; a metabolite of 5-HT) relative to placebo. Telotristat ethyl 250 mg three times daily was well tolerated, with the proportion of patients reporting at least one treatment-emergent adverse event being similar to that with placebo. With regard to adverse events of special interest, relative to placebo, telotristat ethyl had a comparable incidence of depression-related symptoms, a somewhat higher incidence of gastrointestinal (GI) disorders and a higher incidence of elevated hepatic enzyme levels.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.053
GPT teacher head0.245
Teacher spread0.192 · 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 designTheoretical or conceptual
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

Citations14
Published2014
Admission routes1
Has abstractyes

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