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Record W26979418 · doi:10.1007/s10461-016-1356-3

Increased Thermal Robustness of Turbine Structure

2014· dissertation· en· W26979418 on OpenAlexfundno aff
Mattias Larsson, Sebastian Marklund

Bibliographic record

VenueAIDS and Behavior · 2014
Typedissertation
Languageen
FieldDecision Sciences
TopicProbabilistic and Robust Engineering Design
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthNational Natural Science Foundation of ChinaInternational Development Research Centre
KeywordsRobustness (evolution)TurbineThermalEngineeringComputer scienceEnvironmental scienceMechanical engineeringPhysicsMeteorologyChemistry

Abstract

fetched live from OpenAlex

HIV among men who have sex with men (MSM) with recent male-male sexual debut, such as within the past 5 years, may be a proxy for recent HIV infection. Using this definition, we explored factors associated with HIV infection in this group to understand the evolving HIV epidemic among MSM in Chongqing. We conducted a cross-sectional respondent-driven sampling survey among Chongqing MSM in 2011. Computer-assisted, self-administered questionnaires were used and blood specimens were collected for HIV and syphilis testing. Three hundred and ninety-one unique MSM were recruited of which 65.7 % (257) had their sexual debut with another man in the past 5 years. HIV prevalence among men with recent sexual debut was 18.7 % suggesting a possible HIV incidence of 3.7 %. Multivariable analysis among men with recent sexual debut suggests that lower education, having more than one male partner, and currently being infected with syphilis are associated with HIV among men with recent sexual debut. HIV prevalence is high among MSM with recent sexual debut in Chongqing, which may be a proxy a high incidence rate. HIV prevention efforts should focus on STD reduction among those MSM with lower educational attainment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.030
GPT teacher head0.307
Teacher spread0.277 · 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 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
Published2014
Admission routes1
Has abstractyes

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