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Record W3032323816 · doi:10.1126/sciadv.aay4945

Size-dependent influence of NO <sub>x</sub> on the growth rates of organic aerosol particles

2020· article· en· W3032323816 on OpenAlex
Chao Yan, Wei Nie, Alexander L. Vogel, Lubna Dada, Katrianne Lehtipalo, Dominik Stolzenburg, Robert Wagner, Matti Rissanen, Mao Xiao, Lauri Ahonen, Lukas Fischer, Clémence Rose, Federico Bianchi, Hamish Gordon, Mario Simon, Martin Heinritzi, Olga Garmаsh, Pontus Roldin, António Dias, Penglin Ye, Victoria Hofbauer, A. Amorim, Paulus S. Bauer, Anton Bergen, Anne-Kathrin Bernhammer, Martin Breitenlechner, Sophia Brilke, Angela Buchholz, Stephany Buenrostro Mazon, Manjula R. Canagaratna, Xuemeng Chen, Aijun Ding, Josef Dommen, Danielle C. Draper, Jonathan Duplissy, Carla Frege, Claudia Heyn, R. Guida, J. Hakala, Liine Heikkinen, C. R. Hoyle, Tuija Jokinen, Juha Kangasluoma, J. Kirkby, Jenni Kontkanen, Andreas Kürten, Michael J. Lawler, Huajun Mai, Serge Mathot, Roy L. Mauldin, Ugo Molteni, Leonid Nichman, Tuomo Nieminen, J. B. Nowak, Andrea Ojdanic, Antti Onnela, Aki Pajunoja, Tuukka Petäjä, Felix Piel, Lauriane L. J. Quéléver, Nina Sarnela, Simon Schallhart, Kamalika Sengupta, Mikko Sipilä, António Tomé, Jasmin Tröstl, Olli Väisänen, Andrea C. Wagner, Arttu Ylisirniö, Qiaozhi Zha, Urs Baltensperger, K. S. Carslaw, Joachim Curtius, Richard C. Flagan, Armin Hansel, Ilona Riipinen, James N. Smith, Annele Virtanen, Paul M. Winkler, Neil M. Donahue, Veli‐Matti Kerminen, Markku Kulmala, Mikael Ehn, Douglas R. Worsnop

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience Advances · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsNational Research Council Canada
FundersNatural Environment Research CouncilJiangsu Collaborative Innovation Center for Climate ChangeSvenska Forskningsrådet FormasHorizon 2020 Framework ProgrammeAcademy of FinlandNational Natural Science Foundation of ChinaSight Research UKNational Science FoundationRoyal SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyAustrian Science FundAgence Nationale de la RechercheVetenskapsrådet
KeywordsAerosolVolatility (finance)Particle-size distributionParticle sizeGrowth rateChemical physicsEnvironmental scienceChemical engineeringMaterials scienceEnvironmental chemistryChemistryStatistical physicsEconometricsPhysicsMathematicsPhysical chemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

NO x is important for particle growth as it can participate in HOM formation and alter the HOM volatility distribution.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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