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Record W3021764483 · doi:10.1177/1591019918800457

Standards of practice in acute ischemic stroke intervention: International recommendations

2018· article· en· W3021764483 on OpenAlexaff
Laurent Pierot, Mahesh Jayaraman, István Szikora, Joshua A Hirsch, Blaise Baxter, Shigeru Miyachi, Jeyaledchumy Mahadevan, Winston Chong, Peter Mitchell, Alan Coulthard, Howard A. Rowley, Pina C. Sanelli, Donatella Tampieri, Patrick A. Brouwer, Jens Fiehler, Naci Koçer, Pedro Vilela, Àlex Rovira, Urs Fischer, Valeria Caso, H. Bart van der Worp, Nobuyuki Sakai, Yuji Matsumaru, Shin-ichi Yoshimura, René Anxionnat, Hubert Desal, Luísa Biscoito, José Manuel Pumar, Orlando Díaz, Justin F. Fraser, Italo Linfante, David S. Liebeskind, Raul G. Nogueira, Werner Hacke, Michael Brainin, Bernard Yan, Michael Söderman, Allan Taylor, Sirintara Pongpech, Michihiro Tanaka, Terbrugge Karel

Bibliographic record

VenueInterventional Neuroradiology · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsToronto Western HospitalUniversity of TorontoQueen's University
Fundersnot available
KeywordsMedicineStroke (engine)Acute strokeIntervention (counseling)Ischemic strokeIntensive care medicineMedical emergencyEmergency medicineCardiologyInternal medicineTissue plasminogen activatorIschemiaNursing

Abstract

fetched live from OpenAlex

This article was first published in JNIS. Cite this article as: Pierot L, Jayaraman MV, Szikora I, et al. Standards of practice in acute ischemic stroke intervention: international recommendations. Journal of NeuroInterventional Surgery. Published Online First: 28 August 2018. doi: 10.1136/neurintsurg-2018-014287.

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)0.197
metaresearch head score (Gemma)0.351
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.197
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1970.351
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.010
Bibliometrics0.0150.010
Science and technology studies0.0040.006
Scholarly communication0.0100.010
Open science0.0160.012
Research integrity0.0230.025
Insufficient payload (model declined to judge)0.0080.006

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 head0.017
GPT teacher head0.362
Teacher spread0.345 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations14
Published2018
Admission routes1
Has abstractyes

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