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Record W4241980079 · doi:10.1002/jbmr.3266

Ed Bd, Masthead, Comm List, Membership List and TOC

2018· article· en· W4241980079 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Bone and Mineral Research · 2018
Typearticle
Languageen
FieldEngineering
TopicRailway Systems and Materials Science
Canadian institutionsnot available
Fundersnot available
KeywordsCitationLibrary scienceComputer scienceInformation retrievalWorld Wide Web

Abstract

US$1528 (Rest of World), €1097 (Europe), £935 (UK).Prices are exclusive of tax.Asia-Pacifi c GST, Canadian GST and European VAT will be applied at the appropriate rates.For more information on current tax rates, please go to www.wileyonlinelibrary.com/tax-vat.The price includes online access to the current and all online back fi les to January 1st 2012, where

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: other
about Canada: no
confidence: high

Journal front matter: masthead, editorial board and table of contents.

GPT-5.6 (high)T3 · adjacent, not in scope
genre: infrastructure/announcement
about Canada: no
confidence: high

The record is journal front matter and contextual scholarly-publishing metadata.

Grok 4.5OUT
genre: other
about Canada: no
confidence: high

Journal masthead, membership list, and TOC administrative front matter, not a study of research.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.076
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9240.890

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 head0.054
GPT teacher head0.326
Teacher spread0.272 · 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.

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueJournal of Bone and Mineral ResearchSame topicRailway Systems and Materials ScienceFrench-language works237,207