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Record W4297810866 · doi:10.1175/bams-d-22-0092.1

Global Climate

2022· article· en· W4297810866 on OpenAlexaff
Robert Dunn, Freya Aldred, Nadine Gobron, J. B. Miller, Kate M. Willett, Melanie Ades, Robert E. Adler, Richard P. Allan, John Anderson, Orlane Anneville, Yasuyuki Aono, Anthony Argüez, Carlo Arosio, John Augustine, César Azorín-Molina, Jonathan Barichivich, Aman Basu, Hylke E. Beck, Nicolas Bellouin, Angela Benedetti, Kevin Blagrave, Stephen Blenkinsop, Olivier Bock, Xavier Bodín, Michael G. Bosilovich, Oliviér Boucher, Gerald Bové, Dennis E. Buechler, Stefan A. Buehler, Laura Carrea, Kai‐Lan Chang, Hanne H. Christiansen, John R. Christy, Eui‐Seok Chung, Laura M. Ciasto, Melanie Coldewey‐Egbers, Owen R. Cooper, Richard Cornes, Curt Covey, Thomas Cropper, Molly Crotwell, Diego Cusicanqui, Sean Davis, Richard de Jeu, D. A. Degenstein, Reynald Delaloye, Markus G. Donat, Wouter Dorigo, Imke Durre, G. S. Dutton, Grégory Duveiller, James W. Elkins, Thomas W. Estilow, Nava Fedaeff, David Fereday, Vitali Fioletov, Johannes Flemming, Michael J. Foster, S. M. Frith, Lucien Froidevaux, Martin Füllekrug, Judith Garforth, Jay Garg, Matthew Gentry, Steven M. Goodman, Qiqi Gou, Nikolay Granin, Mauro Guglielmin, Sebastian Hahn, Leopold Haimberger, B. D. Hall, Ian Harris, Debbie Hemming, Martin Hirschi, Shu-pen Ho, R. H. Holzworth, Filip Hrbáček, Daan Hubert, Petra Hulsman, D. F. Hurst, Antje Inness, Ketil Isaksen, Viju O. John, P. D. Jones, Robert Junod, Andreas Kääb, Johannes W. Kaiser, Viktor Kaufmann, Andreas Kellerer‐Pirklbauer, Elizabeth C. Kent, Richard Kidd, Hyungiun Kim, Zak Kipling, Akash Koppa, Jan Henning L'Abée‐Lund, Xin Lan, Kathleen Lantz, David A. Lavers, Norman G. Loeb, Diego Loyola, Rémi Madelon, Hilmar J. Malmquist, Włodzimierz Marszelewski, Michael Mayer, Matthew F. McCabe, Tim R. McVicar, C. A. Mears, Annette Menzel, Christopher J. Merchant, Diego G. Miralles, S. A. Montzka, Colin Morice, Leander Mösinger, Jens Mühle, Julien P. Nicolas, Jeannette Noetzli, Tiina Nõges, Ben Noll, John O’Keefe, Timothy J. Osborn, Taejin Park, Cécile Pellet, Maury S. Pelto, Sarah Perkins‐Kirkpatrick, Coda Phillips, Stephen Po–Chedley, Lorenzo M. Polvani, Wolfgang Preimesberger, Colin Price, Merja Pulkkanen, Dominik Rains, William J. Randel, Samuel Rémy, Lucrezia Ricciardulli, Andrew D. Richardson, David A. Robinson, Matthew Rodell, Nemesio Rodríguez-Fernández, Karen H. Rosenlof, Chris Roth, Alexei Rozanov, This Rutishäuser, Ahira Sánchez-Lugo, P. Sawaengphokhai, Verena Schenzinger, Robert W. Schlegel, Udo Schneider, Sapna Sharma, Lei Shi, A. J. Simmons, Carolina Siso, Sharon L. Smith, Brian J. Soden, Viktoria Sofieva, Tim H. Sparks, Paul W. Stackhouse, Ryan M. Stauffer, Wolfgang Steinbrecht, Andrea K. Steiner, Kenton M. Stewart, Pietro Stradiotti, D. A. Streletskiy, Hagen Telg, Stephen J. Thackeray, Emmanuel Thibert, Michael A. Todt, Daisuke Tokuda, Kleareti Tourpali, Mari R. Tye, Ronald van der A, Robin van der Schalie, Gerard van der Schrier, Mendy van der Vliet, Guido R. van der Werf, A.J.H. van Vliet, Jean‐Paul Vernier, Isaac Vimont, Katrina S. Virts, Sebastián Vivero, Holger Vömel, Russell S. Vose, Ray H. J. Wang, Markus Weber, D. N. Wiese, Jeanette D. Wild, Earle Williams, Takmeng Wong, R. Iestyn Woolway, Xungang Yin, Ye Yuan, Lin Zhao, Xinjia Zhou, J. R. Ziemke, Markus Ziese, Ruxandra-Maria Zotta

Bibliographic record

VenueBulletin of the American Meteorological Society · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsUniversity of SaskatchewanGeological Survey of CanadaNatural Resources CanadaEnvironment and Climate Change CanadaYork University
FundersNatural Environment Research CouncilSight Research UK
KeywordsLightning (connector)MeteorologyEnvironmental scienceAtmosphere (unit)Atmospheric sciencesEveningClimatologyGeologyGeographyPhysicsAstronomy

Abstract

fetched live from OpenAlex

Caption: Lightning discharges appear in various colours depending on the scatter of light inside the thundercloud and in the atmosphere. The intracloud lightning discharges in the centre of the thundercloud appear to be white with a bluish tint, and the cloud-to-ground discharge below appears to be orange. The right hand side of the thundercloud exhibits a green tint that is attributed to the unique composition of hydrometeors inside the thundercloud.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1340.089

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 head0.006
GPT teacher head0.215
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations75
Published2022
Admission routes1
Has abstractyes

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