Record W3037462853 · doi:10.1038/s41590-020-0687-4

ImmGen at 15

2020· article· en· W3037462853 on OpenAlexaff

Stephanie Vargas Aguilar, Oscar A. Aguilar, Rhys S. Allan, El Ad David Amir, Véronique Angeli, Maxim N. Artyomov, Natasha Asinovski, Jilian Astarita, K. Frank Austen, Geetika Bajpai, Nora A. Barrett, Alev Baysoy, Christophe Benoıst, Angélique Bellemare‐Pelletier, Brad Berg, Adam J Best, Natalie Bezman, David Blair, J. Magarian Blander, Milena Bogunovic, Patrick M. Brennan, Michael Brenner, Brian D. Brown, Matthew B. Buechler, Jason D. Buenrostro, Maria Acebes Casanova, Kyunghee Choi, Andrew Chow, Aleksey Chudnovskiy, Daniela Cipoletta, Nadia Cohen, James J. Collins, Marco Colonna, Alison Cook, James C. Costello, Viviana Cremasco, Ty Crowl, Karine Crozat, Richard Cruse, June D’Angelo, Marc Dalod, Scott Davis, Çağatay Demiralp, Tianda Deng, Jigar V. Desai, Fiona Desland, Maxime Dhainaut, Jiarui Ding, Andrew L. Doedens, Claudia X. Dominguez, Graeme Doran, Regine J. Dress, Michael L. Dustin, Daniel F. Dwyer, Ivan Dzhagalov, Kutlu G. Elpek, Ayla Ergün, Jeff Ericson, Eunice Esomonu, Keke C. Fairfax, Anne Fletcher, Michela Frascoli, Anja Fuchs, Anastasiia Gainullina, Shani T. Gal-Oz, Michael Gallagher, Emmanuel L. Gautier, Roi Gazit, Sophie L. Gibbings, Matthieu Giraud, Florent Ginhoux, Ananda W. Goldrath, Dagmar Gotthardt, Daniel H.D. Gray, Melanie Greter, Ricardo Grieshaber‐Bouyer, Martin Guilliams, Sara Haidermota, R. H. Hardy, Daigo Hashimoto, Julie Helft, Deborah W. Hendricks, Tracy Heng, Jonathan D. Hill, Gordon Hyatt, Juliana Idoyaga, Claudia Jakubzick, Jessica Jarjoura, Daniel A. Jepson, Baosen Jia, Radu Jianu, Tim Johanson, Vladimir Jojic, Yosuke Kamimura, Veronica Kana, Joonsoo Kang, Varun Kapoor, Ephraim Kenigsberg, Andrew Kent, Charles C. Kim, Edy Y. Kim, Francis Kim, Joel Kim, Ki-Wook Kim, Evgeny Kiner, Jamie Knell, Daphne Koller, Larry Kozinn, Karen Krchma, Taras Kreslavsky, Mitchell Kronenberg, Wing-Hong Kwan, David H. Laidlaw, Viola Lam, Lewis L. Lanier, Catherine Laplace, Caleb A. Lareau, Yonit Lavin, Kory J. Lavine, Andrew M. Leader, Marylène Leboeuf, Jacob S. Lee, Jisu Lee, Bo Li, Hu Li, Yuesheng Li, Michail S. Lionakis, Hervé Luche, Lydia Lynch, Assaf Magen, Bárbara Maier, Deepali Malhotra, Marie Malissen, Alexandra Maslova, Diane Mathis, Adelle P. McFarland, Miriam Mérad, Étienne Meunier, Jennifer Miller, J. Justin Milner, Michaël Mingueneau, Gundula Min‐Oo, Paul A. Monach, Devapregasan Moodley, Arthur Mortha, Maelig Morvan, Sara Mostafavi, Sören Müller, Christoph Muus, Tsukasa Nabekura, Tata Nageswara Rao, Vipin Narang, Kavitha Narayan, Hadas Ner‐Gaon, Quyhn Nguyen, Peter A. Nigrović, Gherman Novakovsky, Stephen L. Nutt, Kyla Omilusik, Adriana Ortiz-Lopez, Helena Païdassi, Henry Paik, Michio W. Painter, Vincent Peng, Marc Potempa, Rachana Pradhan, Jeremy Price, Yilin Qi, Yiqing Qi, Sara Quon, Ricardo N. Ramírez, Deepshika Ramanan, Gwendalyn J. Randolph, Aviv Regev, Andrew Rhoads, Michelle L. Robinette, Samuel A. Rose, Derrick J. Rossi, Ravi Sachidanandam, Priyanka Sathe, Charlotte L. Scott, Kumba Seddu, Peter See, Alexey Sergushichev, Laura Shaw, Tal Shay, Avishai Shemesh, Susan A. Shinton, Justin A. Shyer, Michael H. Sieweke, Christopher S. Smillie, Lotte Spel, Nick Spidale, Giuseppina Stifano, Ayshwarya Subramanian, Joseph C. Sun, Katelyn Sylvia, Julie Tellier, Sébastien This, Elena Tomasello, Helena Todorov, Shannon J. Turley, Brinda Vijaykumar, Amy J. Wagers, Ei Wakamatsu, Chendi Wang, Peter L. Wang, Aleksandra Wroblewska, Jun Wu, Edward Yang, Liang Yang, Aldrin Yim, Lim Sheau Yng, Hideyuki Yoshida, Bingfei Yu, Yan Zhou, Ya-Nan Zhu, Caroline Ziemkiewicz

Bibliographic record

VenueNature Immunology · 2020

Typearticle

Languageen

FieldEngineering

TopicBiomedical and Engineering Education

Canadian institutionsUniversity of British Columbia

FundersNational Institute of Allergy and Infectious DiseasesNational Heart, Lung, and Blood InstituteUniversity of California, San FranciscoUniversity of California, San DiegoGenentechDirectorate for Biological SciencesNational Institutes of HealthBrigham and Women's HospitalNational University of SingaporeAgence Nationale de la RechercheAgency for Science, Technology and ResearchBroad InstituteHarvard UniversityBrown UniversityMassachusetts Institute of TechnologyUniversity of Oxford

KeywordsPublishingScientific publishingArtBiologyEnvironmental ethicsPhilosophyLiterature

DOI10.1038/s41590-020-0687-4

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002

metaresearch head score (Gemma)0.002

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesInsufficient payload (model declined to judge)

Consensus categoriesnone

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Not applicable · Consensus signal: Not applicable

GenreCandidate signal: Other · Consensus signal: Other

Teacher disagreement score0.890

Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.002	0.002
Meta-epidemiology (narrow)	0.002	0.001
Meta-epidemiology (broad)	0.002	0.002
Bibliometrics	0.003	0.001
Science and technology studies	0.002	0.001
Scholarly communication	0.005	0.001
Open science	0.003	0.006
Research integrity	0.004	0.003
Insufficient payload (model declined to judge)	0.890	0.844

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 head0.182

Teacher spread0.179 · 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