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Record W2559774788 · doi:10.1016/j.jocd.2016.09.005

Case-Based Review of Osteonecrosis of the Jaw (ONJ) and Application of the International Recommendations for Management From the International Task Force on ONJ

2016· review· en· W2559774788 on OpenAlexaff
Aliya Khan, Archie Morrison, David L. Kendler, René Rizzoli, David A. Hanley, Dieter Felsenberg, Laurie K. McCauley, Felice O’Ryan, Ian R. Reid, Salvatore L. Ruggiero, Akira Taguchi, Sotirios Tetradis, Nelson B. Watts, Maria Luisa Brandi, Edmund Peters, Teresa Guise, Richard Eastell, Angela M. Cheung, Suzanne N. Morin, Basel Masri, Cyrus Cooper, Sarah L. Morgan, Barbara Obermayer‐Pietsch, Bente Langdahl, Rana Al Dabagh, Kelly Davison, George K.B. Sándor, Robert G. Josse, Mohit Bhandari, Mohamed El Rabbany, Dominique D. Pierroz, Riad A. Sulimani, Deborah Saunders, Jacques P. Brown, Juliet Compston

Bibliographic record

VenueJournal of Clinical Densitometry · 2016
Typereview
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsMount Sinai HospitalUniversité LavalUniversity of AlbertaMcGill UniversityUniversity of CalgaryUniversity of British ColumbiaUniversity Health NetworkUniversity of TorontoDalhousie UniversityMcMaster University
FundersMedical Research CouncilNational Institute for Health and Care Research
KeywordsMedicineOsteonecrosis of the jawTask forceTask (project management)ManagementPathologyPublic administrationBisphosphonate

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.123
GPT teacher head0.482
Teacher spread0.359 · 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 designCase report
Domainnot available
GenreReview

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

Citations263
Published2016
Admission routes1
Has abstractno

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