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Record W4404566651 · doi:10.1038/s41467-024-54306-x

The commitment of the human cell atlas to humanity

2024· review· en· W4404566651 on OpenAlexaff
Ido Amit, Kristin Ardlie, Fabiana Arzuaga, Gordon A. Awandare, Gary D. Bader, Alexander Bernier, Piero Carninci, Stacey Donnelly, Roland Eils, Alistair R. R. Forrest, Henry T. Greely, Roderic Guigó, Nir Hacohen, Muzlifah Haniffa, Emily Kirby, Bartha Maria Knoppers, Arnold R. Kriegstein, Ed S. Lein, Sten Linnarsson, Partha P. Majumder, Miriam Mérad, Kerstin B. Meyer, Musa M. Mhlanga, Garry P. Nolan, Ntobeko Ntusi, Dana Pe’er, Shyam Prabhakar, Maili Raven-Adams, Aviv Regev, Orit Rozenblatt‐Rosen, Senjuti Saha, Andrea Saltzman, Alex K. Shalek, Jay W. Shin, Hendrik G. Stunnenberg, Sarah A. Teichmann, Timothy L. Tickle, Alexandra–Chloé Villani, Christine A. Wells, B Wold, Huanming Yang, Xiaowei Zhuang

Bibliographic record

VenueNature Communications · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsMcGill UniversityUniversity of Toronto
FundersNational Cancer Institute
KeywordsGlobeHumanityAtlas (anatomy)Equity (law)General partnershipHuman diseaseAction (physics)Human healthEnvironmental ethicsPolitical scienceBiologyMedicineDiseasePathologyNeuroscienceLawEnvironmental health

Abstract

fetched live from OpenAlex

The Human Cell Atlas (HCA) is a global partnership “to create comprehensive reference maps of all human cells—the fundamental units of life – as a basis for both understanding human health and diagnosing, monitoring, and treating disease.” ( https://www.humancellatlas.org/ ) The atlas shall characterize cells from diverse individuals across the globe to better understand human biology. HCA proactively considers the priorities of, and benefits accrued to, contributing communities. Here, we lay out principles and action items that have been adopted to affirm HCA’s commitment to equity so that the atlas is beneficial to all of humanity. The Human Cell Atlas (HCA) aims to characterize cells from diverse individuals across the globe to better understand human biology. Here, the authors lay out principles and action items that have been adopted to affirm HCA’s commitment to equity so that the atlas is beneficial to all of humanity.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.139
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.003
Research integrity0.0000.001
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 head0.031
GPT teacher head0.386
Teacher spread0.356 · 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
GenreReview

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

Citations19
Published2024
Admission routes1
Has abstractyes

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