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Record W2040626792 · doi:10.1016/j.radonc.2010.01.003

Radiosurgery scope of practice in Canada: A report of the Canadian association of radiation oncology (CARO) radiosurgery advisory committee

2010· article· en· W2040626792 on OpenAlexafffundabout
David Roberge, Cynthia Ménard, Glenn Bauman, Alex Chan, Liam Mulroy, Arjun Sahgal, Shawn Malone, Michael McKenzie, G. Schroeder, Marie-Andrée Fortin, Annie Ébacher, Michael Milosevic

Bibliographic record

VenueRadiotherapy and Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeCentre Hospitalier de l’Université de MontréalCancerCare ManitobaOttawa HospitalOttawa Regional Cancer FoundationHealth Sciences CentreBC Cancer AgencyCanadian Association of Nurses in OncologyPrincess Margaret Cancer CentreQueen Elizabeth II Health Sciences CentreDalhousie UniversityUniversity of TorontoSunnybrook Health Science CentreMcGill University Health CentreMcGill University
FundersBC Cancer AgencyCanadian Association of Radiation Oncology
KeywordsRadiosurgeryMedicineRadiation oncologyRadiation oncologistQuality assuranceScope (computer science)Medical physicsMedical physicistRadiation therapyRadiologyPathology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.008
metaresearch head score (Gemma)0.022
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: none
Teacher disagreement score0.917
Threshold uncertainty score0.599

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.008
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0030.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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

Citations7
Published2010
Admission routes3
Has abstractno

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