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Record W2165089937 · doi:10.1017/s1041610215000095

International Psychogeriatrics paper of the year 2014: a new tradition and the first candidate for a 2024 paper of the decade?

2015· article· en· W2165089937 on OpenAlexaboutno aff
Nicola T. Lautenschlager, David Ames

Bibliographic record

VenueInternational Psychogeriatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsApathyMilestoneDementiaPsychologyEditorial boardLibrary scienceMedicinePsychiatryGerontologyCognitionDiseasePathologyHistoryComputer science

Abstract

fetched live from OpenAlex

In 2014, the International Psychogeriatric Association (IPA) celebrated the fact that IPA's flagship scientific journal International Psychogeriatrics (IPG) has matured, attaining 25 years of existence since its foundation in 1989. The IPG editorial team introduced several new features in the 2014 issues to celebrate this significant quarter century milestone. One of them was the new “paper of the month” category. Following an internal selection process amongst the editorial team, who ranked available accepted papers focusing on their scientific quality and clinical relevance each month, one paper was selected as paper of the month from the categories “original research articles” and “reviews”. This resulted in 12 papers of the month, of which eight were original research articles and four were reviews or meta-analyses. Each paper of the month was accompanied by a short commentary highlighting its importance, written either by an editorial team member, one of the reviewers of the paper, or an external international expert on the topic of the paper. The editorial team aimed to highlight various psychogeriatric topics, so there are papers covering the wide spectrum of cognitive impairment, from risk factors such a hippocampal atrophy (Ferrarini et al., 2014) and traumatic brain injury (Gilbert et al., 2014), via transition between diagnostic categories on the cognitive continuum (Ellis et al., 2014) to variations in symptom expression (Rockwood et al., 2014) and apathy (Theleritis et al., 2014) to exercise interventions for people with Alzheimer's disease (AD) (Farina et al., 2014) or antipsychotic use for patients with dementia living in residential care (Kleijer et al., 2014). Other papers reported on topics relevant to the aging process in general, such as neuroplasticity (Valkanova et al., 2014), loneliness (Yan et al., 2014) or attitudes to aging (Shenkin et al., 2014). Other psychogeriatric topics covered were delirium (Ritchie et al., 2014) and geriatric depression (Steffens et al., 2014). In the international spirit of IPA, authors of the 12 papers come from Australia, Canada China, Greece, Germany, Italy, Mexico, the Netherlands, Switzerland, the UK, and the USA. From those 12 papers an IPG paper of the year 2014 was selected with the help of three independent reviewers: Dr Doh Kwan Kim from South Korea, Dr Gill Livingston from the UK, and Dr Daniel Weintraub from the USA. Our three reviewers ranked all 12 papers of the month independently from each other and the highest ranked paper overall was “The association of traumatic brain injury with rate of progression of cognitive and functional impairment in a population-based cohort of Alzheimer's disease: the Cache County Dementia Progression Study” by Mac Gilbert, Christine Snyder, Chris Corcoran, Maria C. Norton, Constantine G. Lyketsos, and JoAnn T. Tschanz. The reviewers emphasized that traumatic brain injury (TBI) is recognized as an important risk factor for AD which needs more research, and that the study by Gilbert et al. contributes important new knowledge to the area with the specific strength of reporting long-term follow up. In this context, we refer to the excellent commentary on the paper of the year by Dr David Sharp (Sharp, 2014), which was published alongside the paper of the year when it was paper of the month in the October 2014 issue.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.042
GPT teacher head0.343
Teacher spread0.302 · 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 designNot applicable
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

Citations1
Published2015
Admission routes1
Has abstractyes

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