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More than smell – COVID-19 is associated with severe impairment of smell, taste, and chemesthesis

2020· preprint· en· W4287754393 on OpenAlexaff
Marco Tullio Liuzza, Antonella Di Pizio, María Dolors Guárdia, Valentina Parma, Kathrin Ohla, Maria G. Veldhuizen, Masha Y. Niv, Christine E Kelly, Alyssa J. Bakke, Keiland W Cooper, Cédric Bouysset, Nicola Pirastu, Michele Dibattista, Rishemjit Kaur, Marta Yanina Pepino, Veronika Schöpf, Veronica Pereda‐Loth, Shannon B. Olsson, Richard C. Gerkin, Javier Albayay, Michael C. Farruggia, Surabhi Bhutani, Alexander Wieck Fjældstad, Ritesh Kumar, Anna Menini, Moustafa Bensafi, Mari Sandell, Iordanis Konstantinidis, Federica Genovese, Lina Öztürk, Thierry Thomas‐Danguin, Johannes Frasnelli, Sanne Boesveldt, Özlem Saatçi, Luís R. Saraiva, Cailu Lin, Jérôme Golebiowski, Liang‐Dar Hwang, Hakan Özdener, Christophe Laudamiel, Marina Ritchie, Jan Havlı́ček, Denis Pierron, E. Roura, Marta Navarro, Alissa A. Nolden, Juyun Lim, Katherine L. Whitcroft, Lauren Colquitt, Camille Ferdenzi, Evelyn V Brindha, Aytuğ Altundağ, Alberto Macchi, Alexia Nunez-Parra, Zara M. Patel, Sébastien Fiorucci, Carl Philpott, Barry C. Smith, Johan N. Lundström, Carla Mucignat‐Caretta, Jane K. Parker, Mirjam van den Brink, Michael Schmuker, Thomas Heinbockel, Vonnie D. C. Shields, Farhoud Faraji, Enrique Santamaría, William Fredborg, Gabriella Morini, Jonas Olofsson, Maryam Jalessi, Noam Karni, Rafieh Alizadeh, Robert Pellegrino, Pablo Meyer, Caroline Huart, Ben Chen, Graciela M Soler, Mohammed K Alwashahi, Gccr Group, Danielle R. Reed, Thomas Hummel, Steven D. Munger, John E. Hayes

Bibliographic record

VenueINRIA a CCSD electronic archive server · 2020
Typepreprint
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTasteOlfactionCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakTaste disorderSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineAudiologyDermatologyVirologyPsychologyFood scienceBiologyPathologyDiseaseNeuroscienceOutbreakInfectious disease (medical specialty)

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0030.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.072
GPT teacher head0.273
Teacher spread0.202 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractno

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