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Record W4229045188 · doi:10.3389/froh.2022.912861

Historical Perspective: How the Discovery of HPV Virus Led to the Utilization of a Robot

2022· article· en· W4229045188 on OpenAlex
Grégoire B. Morand, Khalil Sultanem, Marco A. Mascarella, Michael Hier, Alex Mlynarek

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

VenueFrontiers in Oral Health · 2022
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineRadiation therapyIncidence (geometry)DiseaseHead and neck cancerClinical trialHuman papillomavirusCancerOncologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

The treatment of oropharyngeal cancer has undergone many paradigms shifts in recent decades. First considered a surgical disease, improvements in radiotherapy led to its popularization in the 1990s. Subsequently, the discovery of the human papillomavirus (HPV) in the pathogenesis of oropharyngeal cancer, as well as the increase in HPV-associated oropharynx cancer incidence, have prompted a reevaluation of its management. Its sensitivity to standard treatment with a favorable prognosis compared to non HPV-associated oropharyngeal cancer led to a focus on minimizing treatment toxicity. Advances in radiation and surgical techniques, including the use of transoral robotic surgery, gave the rationale to ongoing de-escalation clinical trials in HPV-associated oropharynx cancer.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.060
GPT teacher head0.351
Teacher spread0.291 · 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