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Record W4413969339

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

2025· preprint· en· W4413969339 on OpenAlexaff
Rahi Navelkar, Andrea Cosolo, Bogdan Bintu, Yubao Cheng, Vincent Gardeux, Silvia Gutnik, Taihei Fujimori, Antonina Hafner, Atishay Jay, Bojing Blair Jia, Adam Jussila, Gerard Llimos, Antonios Lioutas, Nuno M. C. Martins, William Moore, Yodai Takei, Frances Wong, Kai-Fu Yang, Huaiying Zhang, Quan Zhu, Magda Bienko, Lacramioara Bintu, Long Cai, Bart De Strooper, Marcelo Nöllmann, Susan E. Mango, Bing Ren, Peter J. Park, Ahilya N. Sawh, Andrew J. Schroeder, Jason R. Swedlow, Golnaz Vahedi, Chao-ting Wu, Sarah Aufmkolk, Alistair N. Boettiger, Irene Farabella, Caterina Strambio‐De‐Castillia, Siyuan Wang

Bibliographic record

VenuePubMed · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFish <Actinopterygii>TracingComputational biologyComputer scienceChromatinBiologyFisheryGeneticsDNAProgramming language
DOInot available

Abstract

fetched live from OpenAlex

and are ideally suited for promoting reuse, exchange, further processing, and integrative modeling. Furthermore, the manuscript will present examples of analysis pipelines that could be applied more widely due to the existence of the FOF-CT exchange data format and provide examples of biological conclusions that could be drawn thanks to the availability of such datasets.

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)0.022
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.995
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.049
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.009
Science and technology studies0.0020.001
Scholarly communication0.0070.009
Open science0.0050.015
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0750.045

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 head0.047
GPT teacher head0.259
Teacher spread0.212 · 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
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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