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Record W4232175685 · doi:10.1007/978-1-60761-820-1

Oral Biology

2010· book· en· W4232175685 on OpenAlexfundno aff
Karolina Elżbieta Kaczor‐Urbanowicz, Harsh M. Trivedi, Patrícia Oliveira de Lima, Paulo M. Camargo, William V. Giannobile, Tristan Grogan, Frederico O. Gleber‐Netto, Yair Whiteman, Feng Li, Hyo‐Jung Lee, Karan Dharia, Katri Aro, Carmen Martín Carreras‐Presas, Saarah Amuthan

Bibliographic record

VenueMethods in molecular biology · 2010
Typebook
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsnot available
FundersRIKENMedical Center, University of RochesterSchool of Dentistry, University of MichiganDepartment of Psychiatry, Faculty of Medicine, University of British ColumbiaNational Institutes of HealthMailman School of Public Health, Columbia UniversityHelsingin YliopistoUniversitetet i OsloJonsson Comprehensive Cancer CenterUniversity of OklahomaUniversity of QueenslandUniversity of Oklahoma Health Sciences CenterWestern University of Health SciencesUniversity of California, Los AngelesUniversity of South CarolinaGriffith UniversityUniversity of Southern CaliforniaUniversity of RochesterCollege of Dental Medicine, Columbia UniversityUniversidade Federal do Rio de JaneiroUniversity of Otago
KeywordsBiology

Abstract

fetched live from OpenAlex

It is generally recognized that the knowledge and research base that underpins dentistry lies in the biological and physical sciences. In this context, the major advances in these sciences over the pa

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.199
Threshold uncertainty score0.666

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1990.226

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 head0.051
GPT teacher head0.493
Teacher spread0.442 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

Explore more

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