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Record W1905790305

Position Development Conference of the International Society for Clinical Densitometry. Vancouver, BC, July 15-17, 2005.

2006· other· en· W1905790305 on OpenAlexaffabout
Edward S. Leib, Neil Binkley, John P. Bilezikian, David L. Kendler, E. Michael Lewiecki, Steven M. Petak

Bibliographic record

VenuePubMed · 2006
Typeother
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of British ColumbiaColumbia College
Fundersnot available
KeywordsDensitometryMedicineDual-energy X-ray absorptiometryPostmenopausal womenLibrary sciencePosition (finance)Medical physicsBone mineralFamily medicineOsteoporosisInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Every 2 years the International Society for Clinical Densitometry (ISCD) organizes a position development conference at which a panel of experts reviews topics of interest in the field of bone densitometry and proposes Official Positions of the ISCD. In July 2005, the most recent conference was held in Vancouver, Canada, during which 4 topics were discussed: (1) Cross-calibration of dual energy x-ray absorptiometry (DXA) systems, (2) Vertebral fracture assessment, (3) World Health Organization (WHO) classification of bone density for populations other than postmenopausal women, and (4) WHO classification for varying skeletal sites. The Official Positions reached at this conference enumerated in this report have been published in The Journal of Clinical Densitometry, and can be found at www.iscd.org.

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 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)0.003
metaresearch head score (Gemma)0.003
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: Other
Teacher disagreement score0.200
Threshold uncertainty score0.669

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2000.109

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 head0.077
GPT teacher head0.357
Teacher spread0.279 · 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

Citations18
Published2006
Admission routes2
Has abstractyes

Explore more

Same venuePubMed→Same topicBone health and osteoporosis research→French-language works237,207→