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Record W7017427731

Alumni Journal - Volume 94, Number 1

2023· article· en· W7017427731 on OpenAlexfundno aff

Bibliographic record

VenueThe Scholars Repository - LLU (Loma Linda University) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
FundersCenter for Neuroscience ResearchUniversity of California, San DiegoNational Institutes of HealthGeorge Fox UniversityGeorgetown UniversityUniversity of California, IrvineLoma Linda UniversitySan José State UniversityDartmouth CollegeHealth Sciences, University of ArizonaUniversity of MichiganUniversity of Texas Southwestern Medical CenterConcordia UniversityAzusa Pacific UniversityRice UniversityWashington State UniversityCedars-Sinai Medical CenterUniversity of Central FloridaUniversity of California, DavisCincinnati Children's Hospital Medical CenterNational Cancer InstituteCity University of New YorkAlpha Omega Alpha Honor Medical SocietyKaiser PermanenteBrigham and Women's Hospital
KeywordsGraduation (instrument)Volume (thermodynamics)Medical schoolPoetry
DOInot available

Abstract

fetched live from OpenAlex

Editorials 2 | From the Editor4 | From the President6 | From the Dean News 8 | Alumni News10 | This & That12 | APC 2024 Preview14 | School of Medicine News16 | Students18 | AIMS Report: BARAKA: Hope and Healing for Sudanese Refugees20 | Department Report: Pathology & Human Anatomy Features 14 | Women in Medicine: Stories of Experience, Contributions, and Accomplishments26 | Women in Medicine: A Conversation32 | Early Hightory of Women in Medicine at LLU34 | One Doctor's Story of Teaching and Healing in Angola38 | Alumni Trips 2023: Featuring the Galápagos Cruise42 | Alumni Gatherings 202344 | Historical Snapshot46 | Alumni Spotlight Featuring Julie A. Abbott League '76-A48 | Life After Medicine In Memoriam 50 | Alumni Remembered Featured Obituary: Jeffrey D. Cao '71

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 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: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.608

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 studies0.0010.000
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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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