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Record W3048934302 · doi:10.1016/j.annonc.2020.07.019

Bone health in cancer: ESMO Clinical Practice Guidelines

2020· article· en· W3048934302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversity of Toronto
FundersIpsenServierEuropean Society for Medical OncologyAstellas PharmaSirtex MedicalGenomic HealthPurdue UniversityEisaiSanofiAmgenPfizerCelgeneAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineBone healthCancerClinical PracticeMedical physicsOncologyIntensive care medicineFamily medicineInternal medicineOsteoporosisBone mineral

Abstract

fetched live from OpenAlex

•The clinical course of advanced cancer for many patients with bone metastases can be transformed through optimum multidisciplinary management.•Bone-targeted agents significantly reduce skeletal morbidity in patients with bone metastases across tumour types and should be part of standard treatment.•Treatment-induced bone loss increases fracture risk and may require use of a bone-targeted agent in addition to lifestyle modifications.•The addition of a bisphosphonate to standard adjuvant therapies for postmenopausal early breast cancer reduces bone recurrence and improves survival.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.686
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0000.000

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 head0.503
GPT teacher head0.632
Teacher spread0.129 · 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