MétaCan
Menu
Back to cohort

Towards a Flexible Development Framework for Multi-Agent Systems.

2010· article· en· W11459396 on OpenAlexaboutno aff
Agostino Poggi

Bibliographic record

VenueWOA · 2010
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsnot available
FundersU.S. Public Health Service
KeywordsComputer scienceDistributed computingRealization (probability)Set (abstract data type)Protocol (science)Communications protocolPeer-to-peerSoftwareComputer networkOperating systemProgramming language

Abstract

fetched live from OpenAlex

Making end-of-life decisions is a painful and difficult process; one that can be intensified by cultural differences between physicians and their patients. The objective of this study was to examine attitudes of Chinese seniors towards end-of-life decisions. We conducted a qualitative survey in a Chinese community centre in Toronto, Canada. Face-to-face interviews, in Cantonese, were conducted with 40 Chinese seniors 65 years of age or older. Respondents based their end-of-life decision making on the following factors: hope, suffering and burden, the future, emotional harmony, the life cycle, respect for doctors, and the family. Respondents rejected advance directives. Respondents' attitudes toward end-of-life decision making can be understood through the lens of values from Confucianist, Buddhist and Taoist traditions. Health care workers can best achieve quality end-of-life care--and address the cultural differences that may arise--by focusing primarily on understanding the perspectives of patients and their families, and by continually striving for balanced and open communication at all stages of the caregiving process.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.863
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.321
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueWOASame topicMulti-Agent Systems and NegotiationFrench-language works237,207