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Record W4234517130 · doi:10.1111/bdi.12411

Issue Information

2016· paratext· en· W4234517130 on OpenAlexaboutno aff

Bibliographic record

VenueBipolar Disorders · 2016
Typeparatext
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCitationLibrary sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

Aim and ScopeBipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses.It intends to provide a single international outlet for new research in this area.Papers on biochemistry, physiology, neuropsychopharmacology, neuroanatomy, neuropathology, genetics, brain imaging, epidemiology, phenomenology, clinical aspects, and therapeutics of bipolar disorders will be considered.In particular, papers that provide leads for development of new therapeutic strategies for these disorders are specially welcome.The journal will also consider submissions on the topics of schizoaffective disorders and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders.The journal will accept full-length research papers, brief reports, invited editorials, commentaries, review articles, letters to the editor, and case reports of unusual interest. Information for subscribersBipolar Disorders is published in eight issues per year.Institutional subscription prices for 2016 are: Online: 623 (UK), 791 (Europe), $1045 (The Americas), $1217 (Rest of World).Prices are exclusive of tax.Asia-Pacifi c GST, Canadian GST and European VAT will be applied at the appropriate rates.For more information on current tax rates, please go to www.wileyonlinelibrary.com/tax-vat.The price includes online access to the current and all online back fi les to January 1 st 2011, where available.For other pricing options including access information and terms and conditions, please visit www.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0160.152

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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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