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Record W7065857140

Evaluation of interventions for Salmonella in chickens using research synthesis and quantitative exposure assessment

2010· dissertation· en· W7065857140 on OpenAlexfundaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2010
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
FundersPublic Health AgencyPublic Health Agency of CanadaPoultry Industry Council
KeywordsPsychological interventionBroilerExposure assessmentRisk assessmentBaseline (sea)Meta-analysisSoundness
DOInot available

Abstract

fetched live from OpenAlex

Systematic review-meta-analysis (SR-MA) was used to determine effectiveness estimates against 'Salmonella' concentration and frequency for different on-farm and processing treatments during broiler production. Results indicated that chilling may reduce 'Salmonella' concentration and frequency on broiler carcasses, but significant heterogeneity (p<0.1; I2>25%) precluded reporting pooled effectiveness estimates. These data were applied with those from other independently conducted SR-MAs and a scoping study (ScS) to generate inputs for a quantitative exposure assessment (QEA). The effectiveness of 2 individual farm and 6 processing interventions and a package of multiple interventions were compared within the Ontario context. A combination of farm and processing interventions pr04uced the largest reductions in 'Salmonella' concentration (99.87%) and prevalence (87.78%) relative to the baseline scenario. The ScS and SR-MAs provided a transparent and robust framework for selecting, evaluating and generating inputs for QEAs, however low methodological soundness and reporting of primary research prevented the full realization of their benefits.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.107
GPT teacher head0.393
Teacher spread0.286 · 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
Published2010
Admission routes2
Has abstractyes

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