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Record W4388717026 · doi:10.1016/j.adro.2023.101332

ASTRO's Advances in Radiation Oncology in 2023

2023· editorial· en· W4388717026 on OpenAlexaff
Robert C. Miller, C. Jillian Tsai

Bibliographic record

VenueAdvances in Radiation Oncology · 2023
Typeeditorial
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineRadiation oncologyMedical physicsOncologyRadiation therapyInternal medicine

Abstract

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This fall marks ASTRO's Advances in Radiation Oncology's eighth year of publishing. The journal continues to grow in readership. Our CiteScore continues to increase over prior years and is currently 4.5 (Fig. 1). Advances received its first impact this year with a value of 2.3. Advances was commissioned in 2015 as a complementary journal to provide a forum for quality research in addition to the Red Journal and PRO, which have a finite number of pages available to publish articles. Figure 2 shows the relative positioning of each of ASTRO's journals in relation to the others. As always, Advances remains freely available to the global oncology community and our patients and their advocates. We currently are seeking critical review articles. However, review articles of interest to the general readership of Advances are also of interest. Potential authors can submit a “presubmission inquiry” for review through the Advances manuscript system.Figure 4Robert Miller, MD, MBA, editor in chief, and Jillian Tsai, MD, PhD, deputy editor in chief.View Large Image Figure ViewerDownload Hi-res image Download (PPT) Our most downloaded paper (Fig. 3) at this time is a paper on delineation of target volumes using magnetic resonance imaging from Paczona et al1Paczona VR Capala ME Deák-Karancsi B et al.Magnetic resonance imaging-based delineation of organs at risk in the head and neck region.Adv Radiat Oncol. 2022; 8101042Google Scholar and is included in this collection.1Paczona VR Capala ME Deák-Karancsi B et al.Magnetic resonance imaging-based delineation of organs at risk in the head and neck region.Adv Radiat Oncol. 2022; 8101042Google Scholar Also included in this special print edition are two other manuscripts focusing on treatment planning and delivery. Schiff et al2Schiff JP Zhao T Huang Y et al.Simulation-free radiation therapy: An emerging form of treatment planning to expedite plan generation for patients receiving palliative radiation therapy.Adv Radiat Oncol. 2022; 8101091Google Scholar report on a novel simulation-free approach to expediting palliative radiation therapy administration. Orton and colleagues3Orton E Ali E Mayorov K et al.A contouring strategy and reference atlases for the full abdominopelvic bowel bag on treatment planning and cone beam computed tomography images.Adv Radiat Oncol. 2022; 7101031PubMed Google Scholar present a practical contouring strategy for delineating small bowel encompassing both the abdominal and pelvic spaces. Also included is a review of the safety and tolerability of metastasis-directed radiation therapy by Guimond et al.4Guimond E Tsai CJ Hosni A O'Kane G Yang J Barry A Safety and tolerability of metastasis-directed radiation therapy in the era of evolving systemic, immune, and targeted therapies.Adv Radiat Oncol. 2022; 7101022PubMed Google Scholar Advances is committed to diversity and inclusion on the editorial team. Robert C. Miller and C. Jillian Tsai report income from ASTRO.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.006
GPT teacher head0.373
Teacher spread0.367 · 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
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
Published2023
Admission routes1
Has abstractyes

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