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Record W28118798 · doi:10.1177/0049475516688148

Automatic camera control for capturing collaborative meetings

2009· article· en· W28118798 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTropical Doctor · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceContext (archaeology)Video productionAutomationFocus (optics)MultimediaArtificial intelligenceSmart cameraPost-productionComputer visionHuman–computer interactionEngineering

Abstract

fetched live from OpenAlex

Much epidemiological information concerning brucellosis generally depends on the evaluation of hospital-based retrospective data. The aim of this study was to determine the prevalence and risk factors of brucellosis in female farmworkers in the south-eastern region of Turkey (GAP) in order to obtain a more representative analysis. Our representative community-based cross-sectional study was conducted during four months of 2013, in all nine GAP provinces. An optimum sample size was determined and blood samples were analysed from 707 reproductive-age female farmworkers using the Rose Bengal (RBT) and standard (SAT) agglutination tests. Sociodemographic information was collected during face-to-face interviews with consenting subjects. Crude odds ratios and 95% confidence intervals were calculated, and chi-square analyses and logistic regression were performed. Employment as a seasonal farmworker and having had five or more pregnancies were the only risk factors found to be significant. This study implies much greater priority needs be given to the control, early diagnosis and treatment in this population.

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.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.020
GPT teacher head0.339
Teacher spread0.319 · 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