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Call to Action: SARS-CoV-2 and CerebrovAscular DisordErs (CASCADE)

2020· article· en· W3023179304 on OpenAlexaff
Shahram Abootalebi, Benjamin M. Aertker, Mohammad Sobhan Sheikh Andalibi, Negar Asdaghi, Özlem Aykaç, Mahmoud Reza Azarpazhooh, M. Cecilia Bahit, Kristian Barlinn, Hamidon Basri, Reza Bavarsad Shahripour, Anna Bersano, José Biller, Afshin Borhani‐Haghighi, Robert D. Brown, Bruce Campbell, Salvador Cruz‐Flores, Deidre Anne De Silva, Mario Di Napoli, Afshin A. Divani, Randall C. Edgell, Johanna T Fifi, Abdoreza Ghoreishi, Teruyuki Hirano, Keun‐Sik Hong, Chung Y. Hsu, Josephine F. Huang, Manabu Inoue, Amanda Jagolino, Moira K. Kapral, Fan Kee Hoo, Zafer Keser, Rakesh Khatri, Masatoshi Koga, Jerzy Krupiński, David S. Liebeskind, Liping Liu, Henry Ma, Alberto Maud, Louise D. McCullough, Dawn Meyer, Victoria Mifsud, Negar Morovatdar, Yongchai Nilanont, Thomas J. Oxley, Atilla Özcan Özdemi̇r, Jeyaraj Pandian, Leonardo Pantoni, Nikolaos Papamitsakis, Adrian Parry‐Jones, Thanh G. Phan, Gustavo Rodríguez, José G. Romano, Ziad Sabaa-Ayoun, Hamidreza Saber, P Sasannezhad, Jeffrey L. Saver, Eugene Scharf, Ashfaq Shuaib, Brian Silver, Shaloo Singhal, Craig J. Smith, Saverio Stranges, PN Sylaja, Michel Torbey, Ḱazunori Toyoda, Georgios Tsivgoulis, Mohammad Wasay, Nawaf Yassi, Takeshi Yoshimoto, Babak Zamani, Ramin Zand

Bibliographic record

VenueJournal of Stroke and Cerebrovascular Diseases · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of AlbertaInstitute for Clinical Evaluative SciencesWestern UniversityDalhousie UniversityUniversity of TorontoDr. Everett Chalmers Regional Hospital
FundersFleni
KeywordsCall to actionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Action (physics)2019-20 coronavirus outbreakPandemicCascadeVirologyMedicineBusinessInternal medicineDiseaseEngineeringPhysicsOutbreakInfectious 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)0.011
metaresearch head score (Gemma)0.030
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.070
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0090.011
Open science0.0040.008
Research integrity0.0700.035
Insufficient payload (model declined to judge)0.0470.019

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 head0.047
GPT teacher head0.340
Teacher spread0.293 · 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
GenreCommentary

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

Citations30
Published2020
Admission routes1
Has abstractno

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