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Record W6967466544 · doi:10.5281/zenodo.1158769

Open Lab Notebooks: An Extreme Open Science Initiative - Open Notebooker Presentations - Project Introductions

2018· article· en· W6967466544 on OpenAlexafffundabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Toronto
FundersNovartis PharmaUniversity of TorontoOntario Ministry of Research, Innovation and ScienceFundação de Amparo à Pesquisa do Estado de São PauloUniversity of OxfordOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAGenome CanadaOntario GenomicsPfizer
KeywordsOpen scienceOpen sourceOpen universityOpen dataCitizen scienceOpen research

Abstract

fetched live from OpenAlex

The Open Notebooker's presentations for Structural Genomics Consortium (SGC) meeting "Open Lab Notebooks: An Extreme Open Science Initiative" http://www.thesgc.org/open-lab-notebooks-2018 January 19, 2018 in Ottawa, Ontario, Canada. Meeting supported by Canadian Institutes of Health Research (CIHR) and the Wellcome Trust. Twitter hashtag was #SGCOpenNotebooks

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0050.000
Open science0.0090.021
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.122
GPT teacher head0.357
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes3
Has abstractyes

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