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Record W2578203604 · doi:10.21037/apm-2021-03

Society for palliative radiation oncology: report from the Seventh Annual Meeting (2020)

2021· article· en· W2578203604 on OpenAlexaff
Candice Johnstone, Emily J. Martin, Тимур Митин, Yolanda D. Tseng, Jordan Hill, Charles B. Simone

Bibliographic record

VenueAnnals of Palliative Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRadiation oncologyMedicineExcellencePalliative careMedical educationRadiation therapyNursingInternal medicinePolitical science

Abstract

fetched live from OpenAlex

The Society for Palliative Radiation Oncology (SPRO) is an international professional group dedicated to advancing the field of palliative radiation oncology by promoting evidence-based palliative radiotherapy and excellence in primary palliative care through research, education, collaboration, and patient advocacy. SPRO held its 7th Annual Meeting on October 28, 2020 over a virtual platform in association with the American Society for Radiation Oncology (ASTRO) 62nd Annual Meeting. Short and long-term goals for the Society were detailed and the accomplishments since SPRO's 6th Annual Meeting were reviewed. New research was presented during a series of two-minute rapid fire educational sessions given by speakers selected to present in the scientific palliative care track at the ASTRO Annual Meeting. Recipients of the Lifetime Service Award and the Rising Star Award were announced and presented. This Meeting Report summarizes the proceedings of the 7th Annual Meeting and describes future directions for SPRO.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0350.031

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 head0.092
GPT teacher head0.422
Teacher spread0.330 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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