MétaCan
Menu
Back to cohort
Record W4309492277 · doi:10.1002/bmb.21544

Issue Information

2022· paratext· en· W4309492277 on OpenAlexaff
Phillip Ortiz, S. Lance Macaulay, Rodney F. Boyer, Henry V. Jakubowski, Said Ashraf, Angelo Azzi, Paulo Sérgio, Lacerda Beirão, Marilee Benore, James Brown, Eduardo A. Ceccarelli, Giselle Cerchiaro, Kimberly J. Linenberger, Cortes, Manuel João Costa, Ricky Cox, P. Craig, Richard Daniellou, Swagata Dasgupta, Carolyn Dehner, Daniel L. Dries, Donald E. Elmore, Raúl Herrera Faúndez, Eduardo Galembeck, Maria Luisa Genova, Joseph P. Grande, Neena Grover, Sanchita Hati, Tamara L. Hendrickson, Susan M. Howitt, Stavros Kalogiannis, Robert P. Learmonth, José Martínez‐Oyanedel, Christopher K. Mathews, Pamela Mertz, Laurence Moran, Erika G. Offerdahl, Marie C. Pizzorno, Joseph Provost, Yongmei Qin, P. K. Rangachari, Vı́ctor Romanowski, Konrad Schönborn, Jie Shen, Susan R. Stapleton, Carlos Stella, Celeste Bastos, Takita Felder Sumter, Keiichiro Suzuki, József Szeberényi

Bibliographic record

VenueBiochemistry and Molecular Biology Education · 2022
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsMcMaster UniversityUniversity of Toronto
FundersNanjing UniversityEuskal Herriko UnibertsitateaNational Science FoundationNational University of SingaporeUniversity of PennsylvaniaSwarthmore CollegeClemson University
KeywordsCitationComputer scienceWorld Wide WebInformation retrievalLibrary science

Abstract

fetched live from OpenAlex

Biochemistry and Molecular Biology Education is an international journal aimed to enhance teacher preparation and student learning in Biochemistry, Molecular Biology, and related sciences such as Biophysics and Cell Biology, by promoting the world-wide dissemination of educational materials.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9270.872

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 head0.004
GPT teacher head0.269
Teacher spread0.266 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBiochemistry and Molecular Biology EducationSame topicNutrition, Genetics, and DiseaseFrench-language works237,207