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Training guidelines for intm-arterial catheter-directed treatment of acute ischemic stroke A statement from a special writing group

2011· article· en· W3030055269 on OpenAlexaff
John J. Connors, David Sacks, Carl M. Black, E. Bruce McIff, M.J.B. Stallmeyer, John W. Cole, Howard A. Rowley, Joan C. Wojak, Robert A. Mericle, Kieran J. Murphy, John F. Cardella, 刘朝来, 李永坤, 刘新峰

Bibliographic record

VenueInt J Cerebrovasc Dis · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineStroke (engine)Statement (logic)Physical therapyLinguisticsEngineering

Abstract

fetched live from OpenAlex

在美国,卒中是引起成年人残疾的首位原因,也是人口死亡的第三大原因,已成为一个重要的公共健康问题。卒中每年危及近80万人的健康,其治疗费用位居所有疾病之首。10%的卒中患者在发病后1个月内死亡,约1乃的卒中患者遗留严重残疾并在发病后6个月内死亡。这些数据提示,卒中的死亡率高于癌症。

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.326
Teacher spread0.223 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2011
Admission routes1
Has abstractyes

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