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Record W6947703344 · doi:10.48252/jcr83

A TWIN INTERVIEW WITH DR B. ANDERSEN AND DR G. GOLDZWEIG BY THE JCR EDITORS IN CHIEF AWARDED TWO JCR BOARD MEMBERS BY INTERNATIONAL PSYCHO-ONCOLOGY SOCIETY (IPOS): BARBARA ANDERSEN (USA), WINNER 2023 ARTHUR M. SUTHERLAND AWARD AND MEMORIAL LECTURE; GIL GOLDZWEIG (ISRAEL), WINNER 2023 NOEMI FISMAN AWARD FOR LIFETIME CLINICAL EXCELLENCE.

2023· article· en· W6947703344 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldComputer Science
TopicDigital Imaging for Blood Diseases
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsEditorial boardPsychosocialInitial public offeringVice presidentGeorge (robot)Associate editor

Abstract

fetched live from OpenAlex

In advance of the 24th Annual World Congress of Psychosocial Oncology and Psychosocial Academy, held in Milan, Italy from August 31st to September 3rd, 2023, the International Psycho-Oncology Society (IPOS) has announced the winners of the 2023 IPOS Awards. The Journal of Cancer Rehabilitation is proud to announce that two of our very own Editorial Board Members, Dr. Barbara Andersen and Dr. Gil Goldzweig, have been honored as recipients of this year’s IPOS awards. Specifically, Dr. Barbara Andersen has been selected as the winner of the 2023 Arthur M. Sutherland Lifetime Achievement Award and will be honored by being invited to give the Memorial Lecture at the IPOS World Congress. , while Dr. Gil Goldzweig has been selected as the winner of the 2023 Noemi Fisman Award for Lifetime Clinical Excellence. This twin interview is dedicated to both esteemed colleagues and Journal of Cancer Rehabilitation board members.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0000.001
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 head0.112
GPT teacher head0.482
Teacher spread0.370 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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