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Record W4248358671 · doi:10.1017/s1478951513000023

PAX volume 11 issue 1 Cover and Back matter

2013· paratext· en· W4248358671 on OpenAlexfundno aff

Bibliographic record

VenuePalliative & Supportive Care · 2013
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthSaitama Medical UniversityUniversità degli Studi di FerraraUniversity of Texas MD Anderson Cancer CenterUniversité de LausanneBen-Gurion University of the NegevKing's College LondonYale UniversityVanderbilt UniversityMoffitt Cancer CenterUppsala UniversitetUniversity of MemphisNorges Teknisk-Naturvitenskapelige UniversitetUniversity of South FloridaMcGill University Health CentreMcGill UniversityDartmouth CollegeJohns Hopkins UniversityFordham UniversityMemorial Sloan-Kettering Cancer Center
KeywordsCover (algebra)Volume (thermodynamics)Action (physics)Computer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

AIMS AND SCOPE.Palliative & Supportive Care publishes papers on psychiatric disorders and their management in the palliative care setting, including but not limited to depression, delirium, anxiety, and posttraumatic stress disorder and bereavement.Evolving constructs of particular relevance to the interface of psychiatry/psychology and palliative medicine, such as demoralization, meaning, dignity, hopelessness, will to live, suffering, and developmental growth at the end of life are a major focus of this journal.Research focusing on these issues, including epidemiology, diagnostic screening, assessment, management, and intervention drug and psychotherapy trials, are also addressed.In addition, the journal provides a forum for the discussion of psychosocial and sociocultural matters such as caregiver burden, health care provider burnout, counseling interventions, the impact of psychosocial factors related to intervention of pain and physical symptom control, and communication issues.The journal features full-length research reports and review articles as well as short communications.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7130.630

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 head0.033
GPT teacher head0.238
Teacher spread0.205 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2013
Admission routes1
Has abstractyes

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