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Record W4205639064 · doi:10.30683/1927-7229.2021.10.05

E-Survey: Current Status of Proton Beam Therapy in USA

2021· article· en· W4205639064 on OpenAlexaffvenue
A. Taqaddas

Bibliographic record

VenueJournal of Analytical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsResearch Canada
Fundersnot available
KeywordsProton therapyMedicineProtonRadiation treatment planningRadiation therapyPencil-beam scanningMedical physicsBeam (structure)Cancer therapyCancerNuclear physicsInternal medicinePhysics

Abstract

fetched live from OpenAlex

The clinical use of Proton Beam Therapy (PBT) in the management of cancer is increasing worldwide. USA has high number of proton therapy centres and this number is growing with new proton therapy centres under development. This study expresses the views of Proton Therapy experts from 12 US cities based in 9 states with respect to the role of proton therapy in cancer treatment. An E-survey was conducted to assess clinical, technical, educational, and organizational resources and strategies in US -based Proton Beam Therapy facilities and to recognize patters of practice. The E-survey attempted to identify tumours which are more likely to benefit from Proton beam Therapy compared to Photon based Therapy. The role of Proton Beam Therapy in Breast, Brain and Lung cancers was also studied. The study also intended to find what improvements are needed to ensure efficient treatment planning, delivery and dosimetry. This is the first study of its kind in USA.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.418
Teacher spread0.346 · 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 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
Published2021
Admission routes2
Has abstractyes

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