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Record W2783455334 · doi:10.2490/jjrmc.54.957

Mechanism and Rehabilitation for the Dyspnea in Disused Syndrome

2017· article· en· W2783455334 on OpenAlexaff
Kaoru Honaga, Toshiyuki Fujiwara

Bibliographic record

VenueThe Japanese Journal of Rehabilitation Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsAssociation des Démographes du Québec
Fundersnot available
KeywordsMechanism (biology)RehabilitationPhysical medicine and rehabilitationMedicinePhysical therapyPhysics

Abstract

fetched live from OpenAlex

廃用症候群では,呼吸器系のみならず筋骨格系,精神系,循環器系など幅広い器官における変調をきたし,しばしば息切れ症状が発生する.息切れはさまざまな動作や活動に対する心理的,物理的なハードルとなり,患者のADL,QOLの低下因子となる.息切れのへの対処においては,その発生状況を詳細に把握したうえで,悪化の予防,教育,運動療法を行う.必要であれば補助具や環境整備も考慮する.整容動作など,一見負荷が少なそうにみえる動作でも,上肢の挙上位の保持が必要な動作では息切れをきたしやすいため注意が必要である.単一の介入のみで息切れ症状を克服することは困難であることが多く,総合的に介入を行っていく必要がある.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.321
Teacher spread0.299 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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