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Record W2197173046

1 ILCOR(国際蘇生連絡協議会)とわが国の関わり

2006· article· ja· W2197173046 on OpenAlexaboutno aff
畑中哲生, 田中経一, 岡田和夫

Bibliographic record

Venue治療学 · 2006
Typearticle
Languageja
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsResuscitationMedicineCardiopulmonary resuscitationMedical emergencyLibrary scienceEmergency medicine
DOInot available

Abstract

fetched live from OpenAlex

International Liaison Committee on Resuscitation(ILCOR:国際蘇生連絡協議会)は 1992 年に発足した文字通りの国際組織である。蘇生に関する研究や教育活動の推進にあたって国際的な協力を推し進めることを目的としている。発足の契機となったのは蘇生に関する AmericanHeart Association(AHA)のガイドライン 1992年版の策定作業である。この作業は米国以外にもヨーロッパを中心とした世界各国の研究者が協力して進められたが,この際の協力関係を継続すべきであるとの共通認識が生まれたことが契機になった。発足当初の加盟国(団体)は,AHA,EuropeanResuscitation Council(ERC),Heart and StrokeFoundation of Canada(HSFC),Australian andNew Zealand Committee on Resuscitation(ARC &NZRC),Resuscitation Councils of Southern Africa(RCSA)および Inter American Heart Foundation(IAHF)の 6 団体である(図 1)。この時点においては加盟団体が備えるべき条件に明確な規定はなかったが,原則として各国あるいは地域において,蘇生に関連する複数の団体から構成され,かつ蘇生に関するガイドラインを策定する権限をもつ団体であることが望ましいとされていた。

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)0.010
metaresearch head score (Gemma)0.028
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: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0080.002
Open science0.0020.003
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0660.053

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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
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
Published2006
Admission routes1
Has abstractyes

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