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Collaborative decision making: an implementation of the Delphi approach in a social platform

2012· article· en· W669799 on OpenAlexaff
Fan Dong, Adam Binnie, Kelly Lyons, Robert J. Lee, Francis T. Lui, Michael McAllister, Mike Tsumura

Bibliographic record

VenueConference of the Centre for Advanced Studies on Collaborative Research · 2012
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsDalhousie UniversityUniversity of TorontoBaycrest Hospital
Fundersnot available
KeywordsAnonymityDelphiComputer scienceSocial mediaDelphi methodOddsKnowledge managementCollaborative softwareWorld Wide WebGroup decision-makingData scienceArtificial intelligencePsychologyComputer security

Abstract

fetched live from OpenAlex

Experiments were carried out to study the kinetics of local interferon production in the subcutaneous tissues of rats stimulated with Newcastle disease virus. Specifically, the interferon produced and released in the extracellular fluids was collected at various intervals of time in micropore chambers implanted into the subcutaneous tissue of rats. Interferon was detected at moderate titers 1 h after induction, and it was present at high titer at 2 h. The interferon levels remained remarkably high in the samples collected after 3, 5, and 24 h, and in some rats it was still detectable after 48 and 72 h. Since control experiments showed that it requires 2 to 3 h for interferon to penetrate the chambers, it may be concluded that high concentrations of interferon are present in the extracellular fluid within 1 h of induction. The evaluation of the kinetics of production and of the concentrations attained in the extracellular fluid suggests that in a solid tissue a cell infected by a potent interferon inducer may produce interferon early enough and in sufficient quantity to protect neighboring cells before the production of progeny virions.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.174
GPT teacher head0.514
Teacher spread0.340 · 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

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