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Record W4206030080 · doi:10.1007/s00062-021-01123-0

Association of Stent-Retriever Characteristics in Establishing Successful Reperfusion During Mechanical Thrombectomy

2022· article· en· W4206030080 on OpenAlexaff
Petra Cimflová, Nishita Singh, Johanna M. Ospel, Martha Marko, Nima Kashani, Arnuv Mayank, Ricardó A. Hanel, Diogo C Haussen, Aditya Bharatha, David Volders, Manraj K. S. Heran, Alexandre Y. Poppe, Brian van Adel, Bijoy K. Menon, Manish Joshi, Andrew M. Demchuk, Ryan McTaggart, Raul G. Nogueira, Jeremy Rempel, Charlotte Zerna, Michael Tymianski, Michael D. Hill, Mayank Goyal, Mohammed Almekhlafi

Bibliographic record

VenueClinical Neuroradiology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsNoNO (Canada)University of Alberta HospitalMcMaster UniversityAlberta Hospital EdmontonHotchkiss Brain InstituteVancouver General HospitalDalhousie UniversityUniversity of TorontoSt. Michael's HospitalCentre Hospitalier de l’Université de MontréalUniversity of Calgary
Fundersnot available
KeywordsThrombusMedicineThrombolysisStentCatheterCardiologyInternal medicineSurgeryMyocardial infarction

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)0.022
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.307
Teacher spread0.284 · 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".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractno

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