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Exposure

2000· article· en· W4239620533 on OpenAlexaboutno aff
Ruth H. Lerman

Bibliographic record

VenueCancer · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsDestiny (ISS module)FeelingMedicinePerspective (graphical)CancerPsychotherapistPsychoanalysisPsychologySocial psychology

Abstract

fetched live from OpenAlex

For more than 50 years, Cancer has been devoted to exploring every facet of malignant neoplasia, from morphology to therapy, from epidemiology to biology, from historical perspective to basic science. One aspect, however, needs emphasis, namely, the human being who bears the burden of the cancer. For this reason and with the encouragement of the Editor, we have undertaken to remedy this situation by directing attention to the fears and frustrations, hopes and expectations, and feelings and thoughts of all kinds of the person who has cancer, who is worried about it, and who is dependent wholly on physicians specialized in its diagnosis and management. For doctors to be understanding of the very deep needs of patients with cancer, it is requisite that they be privy to authentic, but often unspoken, expressions of a patient's anxieties about physical and emotional pain, loss of control over personal destiny, and plain dread of dying and, with that, the end of cherished relationships. The essay that follows is by a patient with cancer who also is a physician. It is the first in what is hoped will be a series of pieces in this journal that will provide insight into the innermost feelings and reflections of patients with cancer, the purpose being to enable those who are charged with care of them to be able to care better; to care, more empathically. We hope that those who read these lines and these essays will encourage patients to contribute something of benefit to this series. Barrie R. Cassileth, Ph.D. Department of Integrative Medicine Memorial Sloan Kettering Cancer Center New York, New York A. Bernard Ackerman, M.D. Ackerman Academy of Dermatopathology New York, New York Cancer 2000;88:2199–200. © 2000 American Cancer Society.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.6450.273

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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2000
Admission routes1
Has abstractyes

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